Merge branch 'main' of https://github.com/xtekky/gpt4free
This commit is contained in:
t.me/xtekky
commit
10104774c1
38 changed files with 1054 additions and 950 deletions
31
README.md
31
README.md
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@ -11,24 +11,6 @@ Have you ever come across some amazing projects that you couldn't use **just bec
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By the way, thank you so much for [](https://github.com/xtekky/gpt4free/stargazers) and all the support!!
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||||
## Announcement
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Dear Gpt4free Community,
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||||
I would like to thank you for your interest in and support of this project, which I only intended to be for entertainment and educational purposes; I had no idea it would end up being so popular.
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I'm aware of the concerns about the project's legality and its impact on smaller sites hosting APIs. I take these concerns seriously and plan to address them.
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Here's what I'm doing to fix these issues:
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1. Removing APIs from smaller sites: To reduce the impact on smaller sites, I have removed their APIs from the repository. Please shoot me a dm if you are an owner of a site and want it removed.
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2. Commitment to ethical use: I want to emphasize my commitment to promoting ethical use of language models. I don't support any illegal or unethical behavior, and I expect users to follow the same principles.
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Thank you for your support and understanding. I appreciate your continued interest in gpt4free and am committed to addressing your concerns.
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Sincerely,
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**xtekky**
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## Legal Notice <a name="legal-notice"></a>
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||||
This repository uses third-party APIs and AI models and is *not* associated with or endorsed by the API providers or the original developers of the models. This project is intended **for educational purposes only**.
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@ -54,14 +36,12 @@ Please note the following:
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| **How to install** | Instructions on how to install gpt4free | [](#install) | - |
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||||
| **Legal Notice** | Legal notice or disclaimer | [](#legal-notice) | - |
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||||
| **Copyright** | Copyright information | [](#copyright) | - |
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||||
| **Star History** | Star History | [](#star-history) | - |
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| **Usage Examples** | | | |
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||||
| `forefront` | Example usage for quora | [](./forefront/README.md) |  |
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| `quora (poe)` | Example usage for quora | [](./quora/README.md) |  |
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| `forefront` | Example usage for forefront (gpt-4) | [](./forefront/README.md) |  | | |
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| `quora (poe)` | Example usage for quora | [](./quora/README.md) |  | |
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| `phind` | Example usage for phind | [](./phind/README.md) |  |
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| `you` | Example usage for you | [](./you/README.md) | 
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| `you` | Example usage for you | [](./you/README.md) |  |
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| **Try it Out** | | | |
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| Google Colab Jupyter Notebook | Example usage for gpt4free | [](https://colab.research.google.com/github/DanielShemesh/gpt4free-colab/blob/main/gpt4free.ipynb) | - |
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| replit Example (feel free to fork this repl) | Example usage for gpt4free | [](https://replit.com/@gpt4free/gpt4free-webui) | - |
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@ -154,3 +134,6 @@ GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program. If not, see <https://www.gnu.org/licenses/>.
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```
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## Star History <a name="star-history"></a>
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[](https://star-history.com/#xtekky/gpt4free)
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15
Singularity/gpt4free.sif
Normal file
15
Singularity/gpt4free.sif
Normal file
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@ -0,0 +1,15 @@
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Bootstrap: docker
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From: python:3.10-slim
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%post
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apt-get update && apt-get install -y git
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git clone https://github.com/xtekky/gpt4free.git
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cd gpt4free
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pip install --no-cache-dir -r requirements.txt
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cp gui/streamlit_app.py .
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%expose
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8501
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%startscript
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exec streamlit run streamlit_app.py
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@ -1,50 +1,54 @@
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from tls_client import Session
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from forefront.mail import Mail
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from time import time, sleep
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from re import match
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from forefront.typing import ForeFrontResponse
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from uuid import uuid4
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from requests import post
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from json import loads
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from re import match
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from time import time, sleep
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from uuid import uuid4
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from requests import post
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from tls_client import Session
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from forefront.mail import Mail
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from forefront.typing import ForeFrontResponse
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class Account:
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def create(proxy = None, logging = False):
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@staticmethod
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def create(proxy=None, logging=False):
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proxies = {
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'http': 'http://' + proxy,
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'https': 'http://' + proxy } if proxy else False
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'https': 'http://' + proxy} if proxy else False
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start = time()
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mail = Mail(proxies)
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mail_token = None
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mail_adress = mail.get_mail()
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#print(mail_adress)
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client = Session(client_identifier='chrome110')
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mail = Mail(proxies)
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mail_token = None
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mail_adress = mail.get_mail()
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# print(mail_adress)
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client = Session(client_identifier='chrome110')
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client.proxies = proxies
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client.headers = {
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"origin": "https://accounts.forefront.ai",
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"user-agent" : "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36",
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"user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36",
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}
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response = client.post('https://clerk.forefront.ai/v1/client/sign_ups?_clerk_js_version=4.32.6',
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data = {
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"email_address": mail_adress
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}
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)
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response = client.post('https://clerk.forefront.ai/v1/client/sign_ups?_clerk_js_version=4.32.6',
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data={
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"email_address": mail_adress
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}
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)
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trace_token = response.json()['response']['id']
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if logging: print(trace_token)
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response = client.post(f"https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/prepare_verification?_clerk_js_version=4.32.6",
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data = {
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"strategy" : "email_code",
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response = client.post(
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f"https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/prepare_verification?_clerk_js_version=4.32.6",
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data={
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"strategy": "email_code",
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}
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)
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)
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if logging: print(response.text)
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if not 'sign_up_attempt' in response.text:
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@ -58,88 +62,91 @@ class Account:
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if mail_token:
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break
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if logging: print(mail_token)
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response = client.post(f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/attempt_verification?_clerk_js_version=4.38.4', data = {
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'code': mail_token,
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'strategy': 'email_code'
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})
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|
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|
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response = client.post(
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f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/attempt_verification?_clerk_js_version=4.38.4',
|
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data={
|
||||
'code': mail_token,
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'strategy': 'email_code'
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})
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|
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if logging: print(response.json())
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|
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token = response.json()['client']['sessions'][0]['last_active_token']['jwt']
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||||
|
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|
||||
token = response.json()['client']['sessions'][0]['last_active_token']['jwt']
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|
||||
with open('accounts.txt', 'a') as f:
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f.write(f'{mail_adress}:{token}\n')
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||||
|
||||
|
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if logging: print(time() - start)
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|
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return token
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||||
|
||||
|
||||
class StreamingCompletion:
|
||||
@staticmethod
|
||||
def create(
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||||
token = None,
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||||
chatId = None,
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||||
prompt = '',
|
||||
actionType = 'new',
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||||
defaultPersona = '607e41fe-95be-497e-8e97-010a59b2e2c0', # default
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||||
model = 'gpt-4') -> ForeFrontResponse:
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||||
|
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token=None,
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chatId=None,
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prompt='',
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||||
actionType='new',
|
||||
defaultPersona='607e41fe-95be-497e-8e97-010a59b2e2c0', # default
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||||
model='gpt-4') -> ForeFrontResponse:
|
||||
|
||||
if not token: raise Exception('Token is required!')
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||||
if not chatId: chatId = str(uuid4())
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|
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|
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headers = {
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'authority' : 'chat-server.tenant-forefront-default.knative.chi.coreweave.com',
|
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'accept' : '*/*',
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'accept-language' : 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
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||||
'authorization' : 'Bearer ' + token,
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||||
'cache-control' : 'no-cache',
|
||||
'content-type' : 'application/json',
|
||||
'origin' : 'https://chat.forefront.ai',
|
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'pragma' : 'no-cache',
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||||
'referer' : 'https://chat.forefront.ai/',
|
||||
'sec-ch-ua' : '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
|
||||
'sec-ch-ua-mobile' : '?0',
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'authority': 'chat-server.tenant-forefront-default.knative.chi.coreweave.com',
|
||||
'accept': '*/*',
|
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'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
|
||||
'authorization': 'Bearer ' + token,
|
||||
'cache-control': 'no-cache',
|
||||
'content-type': 'application/json',
|
||||
'origin': 'https://chat.forefront.ai',
|
||||
'pragma': 'no-cache',
|
||||
'referer': 'https://chat.forefront.ai/',
|
||||
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
|
||||
'sec-ch-ua-mobile': '?0',
|
||||
'sec-ch-ua-platform': '"macOS"',
|
||||
'sec-fetch-dest' : 'empty',
|
||||
'sec-fetch-mode' : 'cors',
|
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'sec-fetch-site' : 'cross-site',
|
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'user-agent' : 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
|
||||
'sec-fetch-dest': 'empty',
|
||||
'sec-fetch-mode': 'cors',
|
||||
'sec-fetch-site': 'cross-site',
|
||||
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
|
||||
}
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|
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json_data = {
|
||||
'text' : prompt,
|
||||
'action' : actionType,
|
||||
'parentId' : chatId,
|
||||
'workspaceId' : chatId,
|
||||
'messagePersona' : defaultPersona,
|
||||
'model' : model
|
||||
'text': prompt,
|
||||
'action': actionType,
|
||||
'parentId': chatId,
|
||||
'workspaceId': chatId,
|
||||
'messagePersona': defaultPersona,
|
||||
'model': model
|
||||
}
|
||||
|
||||
for chunk in post('https://chat-server.tenant-forefront-default.knative.chi.coreweave.com/chat',
|
||||
headers=headers, json=json_data, stream=True).iter_lines():
|
||||
|
||||
headers=headers, json=json_data, stream=True).iter_lines():
|
||||
|
||||
if b'finish_reason":null' in chunk:
|
||||
data = loads(chunk.decode('utf-8').split('data: ')[1])
|
||||
data = loads(chunk.decode('utf-8').split('data: ')[1])
|
||||
token = data['choices'][0]['delta'].get('content')
|
||||
|
||||
|
||||
if token != None:
|
||||
yield ForeFrontResponse({
|
||||
'id' : chatId,
|
||||
'object' : 'text_completion',
|
||||
'created': int(time()),
|
||||
'model' : model,
|
||||
'choices': [{
|
||||
'text' : token,
|
||||
'index' : 0,
|
||||
'logprobs' : None,
|
||||
'finish_reason' : 'stop'
|
||||
}],
|
||||
'usage': {
|
||||
'prompt_tokens' : len(prompt),
|
||||
'completion_tokens' : len(token),
|
||||
'total_tokens' : len(prompt) + len(token)
|
||||
}
|
||||
})
|
||||
'id': chatId,
|
||||
'object': 'text_completion',
|
||||
'created': int(time()),
|
||||
'model': model,
|
||||
'choices': [{
|
||||
'text': token,
|
||||
'index': 0,
|
||||
'logprobs': None,
|
||||
'finish_reason': 'stop'
|
||||
}],
|
||||
'usage': {
|
||||
'prompt_tokens': len(prompt),
|
||||
'completion_tokens': len(token),
|
||||
'total_tokens': len(prompt) + len(token)
|
||||
}
|
||||
})
|
||||
|
|
|
|||
|
|
@ -1,6 +1,8 @@
|
|||
from requests import Session
|
||||
from string import ascii_letters
|
||||
from random import choices
|
||||
from string import ascii_letters
|
||||
|
||||
from requests import Session
|
||||
|
||||
|
||||
class Mail:
|
||||
def __init__(self, proxies: dict = None) -> None:
|
||||
|
|
@ -23,27 +25,27 @@ class Mail:
|
|||
"accept-encoding": "gzip, deflate, br",
|
||||
"accept-language": "en-GB,en-US;q=0.9,en;q=0.8"
|
||||
}
|
||||
|
||||
|
||||
def get_mail(self) -> str:
|
||||
token = ''.join(choices(ascii_letters, k=14)).lower()
|
||||
init = self.client.post("https://api.mail.tm/accounts", json={
|
||||
"address" : f"{token}@bugfoo.com",
|
||||
init = self.client.post("https://api.mail.tm/accounts", json={
|
||||
"address": f"{token}@bugfoo.com",
|
||||
"password": token
|
||||
})
|
||||
|
||||
|
||||
if init.status_code == 201:
|
||||
resp = self.client.post("https://api.mail.tm/token", json = {
|
||||
resp = self.client.post("https://api.mail.tm/token", json={
|
||||
**init.json(),
|
||||
"password": token
|
||||
})
|
||||
|
||||
|
||||
self.client.headers['authorization'] = 'Bearer ' + resp.json()['token']
|
||||
|
||||
|
||||
return f"{token}@bugfoo.com"
|
||||
|
||||
|
||||
else:
|
||||
raise Exception("Failed to create email")
|
||||
|
||||
|
||||
def fetch_inbox(self):
|
||||
return self.client.get(f"https://api.mail.tm/messages").json()["hydra:member"]
|
||||
|
||||
|
|
@ -52,4 +54,3 @@ class Mail:
|
|||
|
||||
def get_message_content(self, message_id: str):
|
||||
return self.get_message(message_id)["text"]
|
||||
|
||||
|
|
|
|||
|
|
@ -2,12 +2,12 @@ class ForeFrontResponse:
|
|||
class Completion:
|
||||
class Choices:
|
||||
def __init__(self, choice: dict) -> None:
|
||||
self.text = choice['text']
|
||||
self.content = self.text.encode()
|
||||
self.index = choice['index']
|
||||
self.logprobs = choice['logprobs']
|
||||
self.finish_reason = choice['finish_reason']
|
||||
|
||||
self.text = choice['text']
|
||||
self.content = self.text.encode()
|
||||
self.index = choice['index']
|
||||
self.logprobs = choice['logprobs']
|
||||
self.finish_reason = choice['finish_reason']
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return f'''<__main__.APIResponse.Completion.Choices(\n text = {self.text.encode()},\n index = {self.index},\n logprobs = {self.logprobs},\n finish_reason = {self.finish_reason})object at 0x1337>'''
|
||||
|
||||
|
|
@ -16,22 +16,21 @@ class ForeFrontResponse:
|
|||
|
||||
class Usage:
|
||||
def __init__(self, usage_dict: dict) -> None:
|
||||
self.prompt_tokens = usage_dict['prompt_tokens']
|
||||
self.completion_tokens = usage_dict['completion_tokens']
|
||||
self.total_tokens = usage_dict['total_tokens']
|
||||
self.prompt_tokens = usage_dict['prompt_tokens']
|
||||
self.completion_tokens = usage_dict['completion_tokens']
|
||||
self.total_tokens = usage_dict['total_tokens']
|
||||
|
||||
def __repr__(self):
|
||||
return f'''<__main__.APIResponse.Usage(\n prompt_tokens = {self.prompt_tokens},\n completion_tokens = {self.completion_tokens},\n total_tokens = {self.total_tokens})object at 0x1337>'''
|
||||
|
||||
|
||||
def __init__(self, response_dict: dict) -> None:
|
||||
|
||||
self.response_dict = response_dict
|
||||
self.id = response_dict['id']
|
||||
self.object = response_dict['object']
|
||||
self.created = response_dict['created']
|
||||
self.model = response_dict['model']
|
||||
self.completion = self.Completion(response_dict['choices'])
|
||||
self.usage = self.Usage(response_dict['usage'])
|
||||
self.response_dict = response_dict
|
||||
self.id = response_dict['id']
|
||||
self.object = response_dict['object']
|
||||
self.created = response_dict['created']
|
||||
self.model = response_dict['model']
|
||||
self.completion = self.Completion(response_dict['choices'])
|
||||
self.usage = self.Usage(response_dict['usage'])
|
||||
|
||||
def json(self) -> dict:
|
||||
return self.response_dict
|
||||
return self.response_dict
|
||||
|
|
|
|||
|
|
@ -1,25 +1,34 @@
|
|||
import os
|
||||
import sys
|
||||
|
||||
sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
|
||||
|
||||
import streamlit as st
|
||||
import phind
|
||||
|
||||
phind.cf_clearance = ''
|
||||
phind.user_agent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'
|
||||
# Set cloudflare clearance and user agent
|
||||
phind.cloudflare_clearance = ''
|
||||
phind.phind_api = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'
|
||||
|
||||
def phind_get_answer(question:str)->str:
|
||||
# set cf_clearance cookie
|
||||
|
||||
def get_answer(question: str) -> str:
|
||||
# Set cloudflare clearance cookie and get answer from GPT-4 model
|
||||
try:
|
||||
|
||||
result = phind.Completion.create(
|
||||
model = 'gpt-4',
|
||||
prompt = question,
|
||||
results = phind.Search.create(question, actualSearch = True),
|
||||
creative = False,
|
||||
detailed = False,
|
||||
codeContext = '')
|
||||
model='gpt-4',
|
||||
prompt=question,
|
||||
results=phind.Search.create(question, actualSearch=True),
|
||||
creative=False,
|
||||
detailed=False,
|
||||
codeContext=''
|
||||
)
|
||||
return result.completion.choices[0].text
|
||||
|
||||
except Exception as e:
|
||||
return 'An error occured, please make sure you are using a cf_clearance token and correct useragent | %s' % e
|
||||
# Return error message if an exception occurs
|
||||
return f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.'
|
||||
|
||||
|
||||
# Set page configuration and add header
|
||||
st.set_page_config(
|
||||
page_title="gpt4freeGUI",
|
||||
initial_sidebar_state="expanded",
|
||||
|
|
@ -30,19 +39,21 @@ st.set_page_config(
|
|||
'About': "### gptfree GUI"
|
||||
}
|
||||
)
|
||||
|
||||
st.header('GPT4free GUI')
|
||||
|
||||
question_text_area = st.text_area('🤖 Ask Any Question :', placeholder='Explain quantum computing in 50 words')
|
||||
# Add text area for user input and button to get answer
|
||||
question_text_area = st.text_area(
|
||||
'🤖 Ask Any Question :', placeholder='Explain quantum computing in 50 words')
|
||||
if st.button('🧠 Think'):
|
||||
answer = phind_get_answer(question_text_area)
|
||||
answer = get_answer(question_text_area)
|
||||
# Display answer
|
||||
st.caption("Answer :")
|
||||
st.markdown(answer)
|
||||
|
||||
|
||||
# Hide Streamlit footer
|
||||
hide_streamlit_style = """
|
||||
<style>
|
||||
footer {visibility: hidden;}
|
||||
</style>
|
||||
"""
|
||||
st.markdown(hide_streamlit_style, unsafe_allow_html=True)
|
||||
st.markdown(hide_streamlit_style, unsafe_allow_html=True)
|
||||
|
|
|
|||
|
|
@ -1,27 +1,25 @@
|
|||
from datetime import datetime
|
||||
from queue import Queue, Empty
|
||||
from threading import Thread
|
||||
from time import time
|
||||
from urllib.parse import quote
|
||||
from time import time
|
||||
from datetime import datetime
|
||||
from queue import Queue, Empty
|
||||
from threading import Thread
|
||||
from re import findall
|
||||
|
||||
from curl_cffi.requests import post
|
||||
|
||||
cf_clearance = ''
|
||||
user_agent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'
|
||||
user_agent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'
|
||||
|
||||
|
||||
class PhindResponse:
|
||||
|
||||
class Completion:
|
||||
|
||||
class Choices:
|
||||
def __init__(self, choice: dict) -> None:
|
||||
self.text = choice['text']
|
||||
self.content = self.text.encode()
|
||||
self.index = choice['index']
|
||||
self.logprobs = choice['logprobs']
|
||||
self.finish_reason = choice['finish_reason']
|
||||
|
||||
self.text = choice['text']
|
||||
self.content = self.text.encode()
|
||||
self.index = choice['index']
|
||||
self.logprobs = choice['logprobs']
|
||||
self.finish_reason = choice['finish_reason']
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return f'''<__main__.APIResponse.Completion.Choices(\n text = {self.text.encode()},\n index = {self.index},\n logprobs = {self.logprobs},\n finish_reason = {self.finish_reason})object at 0x1337>'''
|
||||
|
||||
|
|
@ -30,34 +28,33 @@ class PhindResponse:
|
|||
|
||||
class Usage:
|
||||
def __init__(self, usage_dict: dict) -> None:
|
||||
self.prompt_tokens = usage_dict['prompt_tokens']
|
||||
self.completion_tokens = usage_dict['completion_tokens']
|
||||
self.total_tokens = usage_dict['total_tokens']
|
||||
self.prompt_tokens = usage_dict['prompt_tokens']
|
||||
self.completion_tokens = usage_dict['completion_tokens']
|
||||
self.total_tokens = usage_dict['total_tokens']
|
||||
|
||||
def __repr__(self):
|
||||
return f'''<__main__.APIResponse.Usage(\n prompt_tokens = {self.prompt_tokens},\n completion_tokens = {self.completion_tokens},\n total_tokens = {self.total_tokens})object at 0x1337>'''
|
||||
|
||||
|
||||
def __init__(self, response_dict: dict) -> None:
|
||||
|
||||
self.response_dict = response_dict
|
||||
self.id = response_dict['id']
|
||||
self.object = response_dict['object']
|
||||
self.created = response_dict['created']
|
||||
self.model = response_dict['model']
|
||||
self.completion = self.Completion(response_dict['choices'])
|
||||
self.usage = self.Usage(response_dict['usage'])
|
||||
self.response_dict = response_dict
|
||||
self.id = response_dict['id']
|
||||
self.object = response_dict['object']
|
||||
self.created = response_dict['created']
|
||||
self.model = response_dict['model']
|
||||
self.completion = self.Completion(response_dict['choices'])
|
||||
self.usage = self.Usage(response_dict['usage'])
|
||||
|
||||
def json(self) -> dict:
|
||||
return self.response_dict
|
||||
|
||||
|
||||
class Search:
|
||||
def create(prompt: str, actualSearch: bool = True, language: str = 'en') -> dict: # None = no search
|
||||
def create(prompt: str, actualSearch: bool = True, language: str = 'en') -> dict: # None = no search
|
||||
if user_agent == '':
|
||||
raise ValueError('user_agent must be set, refer to documentation')
|
||||
if cf_clearance == '' :
|
||||
if cf_clearance == '':
|
||||
raise ValueError('cf_clearance must be set, refer to documentation')
|
||||
|
||||
|
||||
if not actualSearch:
|
||||
return {
|
||||
'_type': 'SearchResponse',
|
||||
|
|
@ -75,7 +72,7 @@ class Search:
|
|||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
headers = {
|
||||
'authority': 'www.phind.com',
|
||||
'accept': '*/*',
|
||||
|
|
@ -91,8 +88,8 @@ class Search:
|
|||
'sec-fetch-site': 'same-origin',
|
||||
'user-agent': user_agent
|
||||
}
|
||||
|
||||
return post('https://www.phind.com/api/bing/search', headers = headers, json = {
|
||||
|
||||
return post('https://www.phind.com/api/bing/search', headers=headers, json={
|
||||
'q': prompt,
|
||||
'userRankList': {},
|
||||
'browserLanguage': language}).json()['rawBingResults']
|
||||
|
|
@ -100,45 +97,45 @@ class Search:
|
|||
|
||||
class Completion:
|
||||
def create(
|
||||
model = 'gpt-4',
|
||||
prompt: str = '',
|
||||
results: dict = None,
|
||||
creative: bool = False,
|
||||
detailed: bool = False,
|
||||
codeContext: str = '',
|
||||
language: str = 'en') -> PhindResponse:
|
||||
|
||||
if user_agent == '' :
|
||||
model='gpt-4',
|
||||
prompt: str = '',
|
||||
results: dict = None,
|
||||
creative: bool = False,
|
||||
detailed: bool = False,
|
||||
codeContext: str = '',
|
||||
language: str = 'en') -> PhindResponse:
|
||||
|
||||
if user_agent == '':
|
||||
raise ValueError('user_agent must be set, refer to documentation')
|
||||
|
||||
if cf_clearance == '' :
|
||||
if cf_clearance == '':
|
||||
raise ValueError('cf_clearance must be set, refer to documentation')
|
||||
|
||||
|
||||
if results is None:
|
||||
results = Search.create(prompt, actualSearch = True)
|
||||
|
||||
results = Search.create(prompt, actualSearch=True)
|
||||
|
||||
if len(codeContext) > 2999:
|
||||
raise ValueError('codeContext must be less than 3000 characters')
|
||||
|
||||
|
||||
models = {
|
||||
'gpt-4' : 'expert',
|
||||
'gpt-3.5-turbo' : 'intermediate',
|
||||
'gpt-4': 'expert',
|
||||
'gpt-3.5-turbo': 'intermediate',
|
||||
'gpt-3.5': 'intermediate',
|
||||
}
|
||||
|
||||
|
||||
json_data = {
|
||||
'question' : prompt,
|
||||
'bingResults' : results, #response.json()['rawBingResults'],
|
||||
'codeContext' : codeContext,
|
||||
'question': prompt,
|
||||
'bingResults': results, # response.json()['rawBingResults'],
|
||||
'codeContext': codeContext,
|
||||
'options': {
|
||||
'skill' : models[model],
|
||||
'date' : datetime.now().strftime("%d/%m/%Y"),
|
||||
'skill': models[model],
|
||||
'date': datetime.now().strftime("%d/%m/%Y"),
|
||||
'language': language,
|
||||
'detailed': detailed,
|
||||
'creative': creative
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
headers = {
|
||||
'authority': 'www.phind.com',
|
||||
'accept': '*/*',
|
||||
|
|
@ -155,50 +152,51 @@ class Completion:
|
|||
'sec-fetch-site': 'same-origin',
|
||||
'user-agent': user_agent
|
||||
}
|
||||
|
||||
|
||||
completion = ''
|
||||
response = post('https://www.phind.com/api/infer/answer', headers = headers, json = json_data, timeout=99999, impersonate='chrome110')
|
||||
response = post('https://www.phind.com/api/infer/answer', headers=headers, json=json_data, timeout=99999,
|
||||
impersonate='chrome110')
|
||||
for line in response.text.split('\r\n\r\n'):
|
||||
completion += (line.replace('data: ', ''))
|
||||
|
||||
|
||||
return PhindResponse({
|
||||
'id' : f'cmpl-1337-{int(time())}',
|
||||
'object' : 'text_completion',
|
||||
'created': int(time()),
|
||||
'model' : models[model],
|
||||
'id': f'cmpl-1337-{int(time())}',
|
||||
'object': 'text_completion',
|
||||
'created': int(time()),
|
||||
'model': models[model],
|
||||
'choices': [{
|
||||
'text' : completion,
|
||||
'index' : 0,
|
||||
'logprobs' : None,
|
||||
'finish_reason' : 'stop'
|
||||
}],
|
||||
'text': completion,
|
||||
'index': 0,
|
||||
'logprobs': None,
|
||||
'finish_reason': 'stop'
|
||||
}],
|
||||
'usage': {
|
||||
'prompt_tokens' : len(prompt),
|
||||
'completion_tokens' : len(completion),
|
||||
'total_tokens' : len(prompt) + len(completion)
|
||||
'prompt_tokens': len(prompt),
|
||||
'completion_tokens': len(completion),
|
||||
'total_tokens': len(prompt) + len(completion)
|
||||
}
|
||||
})
|
||||
|
||||
|
||||
|
||||
class StreamingCompletion:
|
||||
message_queue = Queue()
|
||||
message_queue = Queue()
|
||||
stream_completed = False
|
||||
|
||||
|
||||
def request(model, prompt, results, creative, detailed, codeContext, language) -> None:
|
||||
|
||||
|
||||
models = {
|
||||
'gpt-4' : 'expert',
|
||||
'gpt-3.5-turbo' : 'intermediate',
|
||||
'gpt-4': 'expert',
|
||||
'gpt-3.5-turbo': 'intermediate',
|
||||
'gpt-3.5': 'intermediate',
|
||||
}
|
||||
|
||||
json_data = {
|
||||
'question' : prompt,
|
||||
'bingResults' : results,
|
||||
'codeContext' : codeContext,
|
||||
'question': prompt,
|
||||
'bingResults': results,
|
||||
'codeContext': codeContext,
|
||||
'options': {
|
||||
'skill' : models[model],
|
||||
'date' : datetime.now().strftime("%d/%m/%Y"),
|
||||
'skill': models[model],
|
||||
'date': datetime.now().strftime("%d/%m/%Y"),
|
||||
'language': language,
|
||||
'detailed': detailed,
|
||||
'creative': creative
|
||||
|
|
@ -221,65 +219,65 @@ class StreamingCompletion:
|
|||
'sec-fetch-site': 'same-origin',
|
||||
'user-agent': user_agent
|
||||
}
|
||||
|
||||
response = post('https://www.phind.com/api/infer/answer',
|
||||
headers = headers, json = json_data, timeout=99999, impersonate='chrome110', content_callback=StreamingCompletion.handle_stream_response)
|
||||
|
||||
response = post('https://www.phind.com/api/infer/answer',
|
||||
headers=headers, json=json_data, timeout=99999, impersonate='chrome110',
|
||||
content_callback=StreamingCompletion.handle_stream_response)
|
||||
|
||||
StreamingCompletion.stream_completed = True
|
||||
|
||||
@staticmethod
|
||||
def create(
|
||||
model : str = 'gpt-4',
|
||||
prompt : str = '',
|
||||
results : dict = None,
|
||||
creative : bool = False,
|
||||
detailed : bool = False,
|
||||
codeContext : str = '',
|
||||
language : str = 'en'):
|
||||
|
||||
model: str = 'gpt-4',
|
||||
prompt: str = '',
|
||||
results: dict = None,
|
||||
creative: bool = False,
|
||||
detailed: bool = False,
|
||||
codeContext: str = '',
|
||||
language: str = 'en'):
|
||||
|
||||
if user_agent == '':
|
||||
raise ValueError('user_agent must be set, refer to documentation')
|
||||
if cf_clearance == '' :
|
||||
if cf_clearance == '':
|
||||
raise ValueError('cf_clearance must be set, refer to documentation')
|
||||
|
||||
|
||||
if results is None:
|
||||
results = Search.create(prompt, actualSearch = True)
|
||||
|
||||
results = Search.create(prompt, actualSearch=True)
|
||||
|
||||
if len(codeContext) > 2999:
|
||||
raise ValueError('codeContext must be less than 3000 characters')
|
||||
|
||||
Thread(target = StreamingCompletion.request, args = [
|
||||
|
||||
Thread(target=StreamingCompletion.request, args=[
|
||||
model, prompt, results, creative, detailed, codeContext, language]).start()
|
||||
|
||||
|
||||
while StreamingCompletion.stream_completed != True or not StreamingCompletion.message_queue.empty():
|
||||
try:
|
||||
chunk = StreamingCompletion.message_queue.get(timeout=0)
|
||||
|
||||
if chunk == b'data: \r\ndata: \r\ndata: \r\n\r\n':
|
||||
chunk = b'data: \n\n\r\n\r\n'
|
||||
|
||||
|
||||
chunk = chunk.decode()
|
||||
|
||||
|
||||
chunk = chunk.replace('data: \r\n\r\ndata: ', 'data: \n')
|
||||
chunk = chunk.replace('\r\ndata: \r\ndata: \r\n\r\n', '\n\n\r\n\r\n')
|
||||
chunk = chunk.replace('data: ', '').replace('\r\n\r\n', '')
|
||||
|
||||
|
||||
yield PhindResponse({
|
||||
'id' : f'cmpl-1337-{int(time())}',
|
||||
'object' : 'text_completion',
|
||||
'created': int(time()),
|
||||
'model' : model,
|
||||
'id': f'cmpl-1337-{int(time())}',
|
||||
'object': 'text_completion',
|
||||
'created': int(time()),
|
||||
'model': model,
|
||||
'choices': [{
|
||||
'text' : chunk,
|
||||
'index' : 0,
|
||||
'logprobs' : None,
|
||||
'finish_reason' : 'stop'
|
||||
}],
|
||||
'text': chunk,
|
||||
'index': 0,
|
||||
'logprobs': None,
|
||||
'finish_reason': 'stop'
|
||||
}],
|
||||
'usage': {
|
||||
'prompt_tokens' : len(prompt),
|
||||
'completion_tokens' : len(chunk),
|
||||
'total_tokens' : len(prompt) + len(chunk)
|
||||
'prompt_tokens': len(prompt),
|
||||
'completion_tokens': len(chunk),
|
||||
'total_tokens': len(prompt) + len(chunk)
|
||||
}
|
||||
})
|
||||
|
||||
|
|
|
|||
|
|
@ -116,11 +116,11 @@ class ModelResponse:
|
|||
class Model:
|
||||
@staticmethod
|
||||
def create(
|
||||
token: str,
|
||||
model: str = 'gpt-3.5-turbo', # claude-instant
|
||||
system_prompt: str = 'You are ChatGPT a large language model developed by Openai. Answer as consisely as possible',
|
||||
description: str = 'gpt-3.5 language model from openai, skidded by poe.com',
|
||||
handle: str = None,
|
||||
token: str,
|
||||
model: str = 'gpt-3.5-turbo', # claude-instant
|
||||
system_prompt: str = 'You are ChatGPT a large language model developed by Openai. Answer as consisely as possible',
|
||||
description: str = 'gpt-3.5 language model from openai, skidded by poe.com',
|
||||
handle: str = None,
|
||||
) -> ModelResponse:
|
||||
models = {
|
||||
'gpt-3.5-turbo': 'chinchilla',
|
||||
|
|
@ -202,9 +202,9 @@ class Model:
|
|||
class Account:
|
||||
@staticmethod
|
||||
def create(
|
||||
proxy: Optional[str] = None,
|
||||
logging: bool = False,
|
||||
enable_bot_creation: bool = False,
|
||||
proxy: Optional[str] = None,
|
||||
logging: bool = False,
|
||||
enable_bot_creation: bool = False,
|
||||
):
|
||||
client = TLS(client_identifier='chrome110')
|
||||
client.proxies = {'http': f'http://{proxy}', 'https': f'http://{proxy}'} if proxy else None
|
||||
|
|
@ -309,10 +309,10 @@ class Account:
|
|||
class StreamingCompletion:
|
||||
@staticmethod
|
||||
def create(
|
||||
model: str = 'gpt-4',
|
||||
custom_model: bool = None,
|
||||
prompt: str = 'hello world',
|
||||
token: str = '',
|
||||
model: str = 'gpt-4',
|
||||
custom_model: bool = None,
|
||||
prompt: str = 'hello world',
|
||||
token: str = '',
|
||||
):
|
||||
_model = MODELS[model] if not custom_model else custom_model
|
||||
|
||||
|
|
@ -344,10 +344,10 @@ class StreamingCompletion:
|
|||
|
||||
class Completion:
|
||||
def create(
|
||||
model: str = 'gpt-4',
|
||||
custom_model: str = None,
|
||||
prompt: str = 'hello world',
|
||||
token: str = '',
|
||||
model: str = 'gpt-4',
|
||||
custom_model: str = None,
|
||||
prompt: str = 'hello world',
|
||||
token: str = '',
|
||||
):
|
||||
models = {
|
||||
'sage': 'capybara',
|
||||
|
|
@ -389,12 +389,12 @@ class Completion:
|
|||
|
||||
class Poe:
|
||||
def __init__(
|
||||
self,
|
||||
model: str = 'ChatGPT',
|
||||
driver: str = 'firefox',
|
||||
download_driver: bool = False,
|
||||
driver_path: Optional[str] = None,
|
||||
cookie_path: str = './quora/cookie.json',
|
||||
self,
|
||||
model: str = 'ChatGPT',
|
||||
driver: str = 'firefox',
|
||||
download_driver: bool = False,
|
||||
driver_path: Optional[str] = None,
|
||||
cookie_path: str = './quora/cookie.json',
|
||||
):
|
||||
# validating the model
|
||||
if model and model not in MODELS:
|
||||
|
|
@ -473,12 +473,12 @@ class Poe:
|
|||
return response
|
||||
|
||||
def create_bot(
|
||||
self,
|
||||
name: str,
|
||||
/,
|
||||
prompt: str = '',
|
||||
base_model: str = 'ChatGPT',
|
||||
description: str = '',
|
||||
self,
|
||||
name: str,
|
||||
/,
|
||||
prompt: str = '',
|
||||
base_model: str = 'ChatGPT',
|
||||
description: str = '',
|
||||
) -> None:
|
||||
if base_model not in MODELS:
|
||||
raise RuntimeError('Sorry, the base_model you provided does not exist. Please check and try again.')
|
||||
|
|
|
|||
62
quora/api.py
62
quora/api.py
|
|
@ -384,7 +384,7 @@ class Client:
|
|||
continue
|
||||
|
||||
# update info about response
|
||||
message["text_new"] = message["text"][len(last_text) :]
|
||||
message["text_new"] = message["text"][len(last_text):]
|
||||
last_text = message["text"]
|
||||
message_id = message["messageId"]
|
||||
|
||||
|
|
@ -456,21 +456,21 @@ class Client:
|
|||
logger.info(f"No more messages left to delete.")
|
||||
|
||||
def create_bot(
|
||||
self,
|
||||
handle,
|
||||
prompt="",
|
||||
base_model="chinchilla",
|
||||
description="",
|
||||
intro_message="",
|
||||
api_key=None,
|
||||
api_bot=False,
|
||||
api_url=None,
|
||||
prompt_public=True,
|
||||
pfp_url=None,
|
||||
linkification=False,
|
||||
markdown_rendering=True,
|
||||
suggested_replies=False,
|
||||
private=False,
|
||||
self,
|
||||
handle,
|
||||
prompt="",
|
||||
base_model="chinchilla",
|
||||
description="",
|
||||
intro_message="",
|
||||
api_key=None,
|
||||
api_bot=False,
|
||||
api_url=None,
|
||||
prompt_public=True,
|
||||
pfp_url=None,
|
||||
linkification=False,
|
||||
markdown_rendering=True,
|
||||
suggested_replies=False,
|
||||
private=False,
|
||||
):
|
||||
result = self.send_query(
|
||||
"PoeBotCreateMutation",
|
||||
|
|
@ -499,21 +499,21 @@ class Client:
|
|||
return data
|
||||
|
||||
def edit_bot(
|
||||
self,
|
||||
bot_id,
|
||||
handle,
|
||||
prompt="",
|
||||
base_model="chinchilla",
|
||||
description="",
|
||||
intro_message="",
|
||||
api_key=None,
|
||||
api_url=None,
|
||||
private=False,
|
||||
prompt_public=True,
|
||||
pfp_url=None,
|
||||
linkification=False,
|
||||
markdown_rendering=True,
|
||||
suggested_replies=False,
|
||||
self,
|
||||
bot_id,
|
||||
handle,
|
||||
prompt="",
|
||||
base_model="chinchilla",
|
||||
description="",
|
||||
intro_message="",
|
||||
api_key=None,
|
||||
api_url=None,
|
||||
private=False,
|
||||
prompt_public=True,
|
||||
pfp_url=None,
|
||||
linkification=False,
|
||||
markdown_rendering=True,
|
||||
suggested_replies=False,
|
||||
):
|
||||
result = self.send_query(
|
||||
"PoeBotEditMutation",
|
||||
|
|
|
|||
|
|
@ -38,7 +38,7 @@ class Emailnator:
|
|||
return self.email
|
||||
|
||||
def get_message(self):
|
||||
print("waiting for code...")
|
||||
print("Waiting for message...")
|
||||
|
||||
while True:
|
||||
sleep(2)
|
||||
|
|
@ -49,6 +49,7 @@ class Emailnator:
|
|||
mail_token = loads(mail_token.text)["messageData"]
|
||||
|
||||
if len(mail_token) == 2:
|
||||
print("Message received!")
|
||||
print(mail_token[1]["messageID"])
|
||||
break
|
||||
|
||||
|
|
@ -63,4 +64,19 @@ class Emailnator:
|
|||
return mail_context.text
|
||||
|
||||
def get_verification_code(self):
|
||||
return findall(r';">(\d{6,7})</div>', self.get_message())[0]
|
||||
message = self.get_message()
|
||||
code = findall(r';">(\d{6,7})</div>', message)[0]
|
||||
print(f"Verification code: {code}")
|
||||
return code
|
||||
|
||||
def clear_inbox(self):
|
||||
print("Clearing inbox...")
|
||||
self.client.post(
|
||||
"https://www.emailnator.com/delete-all",
|
||||
json={"email": self.email},
|
||||
)
|
||||
print("Inbox cleared!")
|
||||
|
||||
def __del__(self):
|
||||
if self.email:
|
||||
self.clear_inbox()
|
||||
|
|
|
|||
|
|
@ -7,4 +7,5 @@ colorama
|
|||
curl_cffi
|
||||
streamlit==1.21.0
|
||||
selenium
|
||||
fake-useragent
|
||||
fake-useragent
|
||||
twocaptcha
|
||||
|
|
|
|||
|
|
@ -5,7 +5,6 @@ token = forefront.Account.create(logging=True)
|
|||
print(token)
|
||||
|
||||
# get a response
|
||||
for response in forefront.StreamingCompletion.create(token = token,
|
||||
prompt = 'hello world', model='gpt-4'):
|
||||
|
||||
print(response.completion.choices[0].text, end = '')
|
||||
for response in forefront.StreamingCompletion.create(token=token,
|
||||
prompt='hello world', model='gpt-4'):
|
||||
print(response.completion.choices[0].text, end='')
|
||||
|
|
|
|||
|
|
@ -2,18 +2,19 @@ import phind
|
|||
|
||||
# set cf_clearance cookie ( not needed at the moment)
|
||||
phind.cf_clearance = 'MDzwnr3ZWk_ap8u.iwwMR5F3WccfOkhUy_zGNDpcF3s-1682497341-0-160'
|
||||
phind.user_agent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'
|
||||
phind.user_agent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'
|
||||
|
||||
prompt = 'hello world'
|
||||
|
||||
# normal completion
|
||||
result = phind.Completion.create(
|
||||
model = 'gpt-4',
|
||||
prompt = prompt,
|
||||
results = phind.Search.create(prompt, actualSearch = False), # create search (set actualSearch to False to disable internet)
|
||||
creative = False,
|
||||
detailed = False,
|
||||
codeContext = '') # up to 3000 chars of code
|
||||
model='gpt-4',
|
||||
prompt=prompt,
|
||||
results=phind.Search.create(prompt, actualSearch=False),
|
||||
# create search (set actualSearch to False to disable internet)
|
||||
creative=False,
|
||||
detailed=False,
|
||||
codeContext='') # up to 3000 chars of code
|
||||
|
||||
print(result.completion.choices[0].text)
|
||||
|
||||
|
|
@ -22,11 +23,12 @@ prompt = 'who won the quatar world cup'
|
|||
# help needed: not getting newlines from the stream, please submit a PR if you know how to fix this
|
||||
# stream completion
|
||||
for result in phind.StreamingCompletion.create(
|
||||
model = 'gpt-4',
|
||||
prompt = prompt,
|
||||
results = phind.Search.create(prompt, actualSearch = True), # create search (set actualSearch to False to disable internet)
|
||||
creative = False,
|
||||
detailed = False,
|
||||
codeContext = ''): # up to 3000 chars of code
|
||||
model='gpt-4',
|
||||
prompt=prompt,
|
||||
results=phind.Search.create(prompt, actualSearch=True),
|
||||
# create search (set actualSearch to False to disable internet)
|
||||
creative=False,
|
||||
detailed=False,
|
||||
codeContext=''): # up to 3000 chars of code
|
||||
|
||||
print(result.completion.choices[0].text, end='', flush=True)
|
||||
print(result.completion.choices[0].text, end='', flush=True)
|
||||
|
|
|
|||
|
|
@ -1,90 +1,90 @@
|
|||
from requests import Session
|
||||
from tls_client import Session as TLS
|
||||
from json import dumps
|
||||
from hashlib import md5
|
||||
from time import sleep
|
||||
from json import dumps
|
||||
from re import findall
|
||||
from pypasser import reCaptchaV3
|
||||
|
||||
from tls_client import Session as TLS
|
||||
from twocaptcha import TwoCaptcha
|
||||
|
||||
from quora import extract_formkey
|
||||
from quora.mail import Emailnator
|
||||
from twocaptcha import TwoCaptcha
|
||||
|
||||
solver = TwoCaptcha('72747bf24a9d89b4dcc1b24875efd358')
|
||||
|
||||
|
||||
class Account:
|
||||
def create(proxy: None or str = None, logging: bool = False, enable_bot_creation: bool = False):
|
||||
client = TLS(client_identifier='chrome110')
|
||||
client = TLS(client_identifier='chrome110')
|
||||
client.proxies = {
|
||||
'http': f'http://{proxy}',
|
||||
'https': f'http://{proxy}'} if proxy else None
|
||||
|
||||
mail_client = Emailnator()
|
||||
mail_address = mail_client.get_mail()
|
||||
mail_client = Emailnator()
|
||||
mail_address = mail_client.get_mail()
|
||||
|
||||
if logging: print('email', mail_address)
|
||||
|
||||
client.headers = {
|
||||
'authority' : 'poe.com',
|
||||
'accept' : '*/*',
|
||||
'authority': 'poe.com',
|
||||
'accept': '*/*',
|
||||
'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
|
||||
'content-type' : 'application/json',
|
||||
'origin' : 'https://poe.com',
|
||||
'poe-formkey' : 'null',
|
||||
'poe-tag-id' : 'null',
|
||||
'poe-tchannel' : 'null',
|
||||
'referer' : 'https://poe.com/login',
|
||||
'sec-ch-ua' : '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
|
||||
'sec-ch-ua-mobile' : '?0',
|
||||
'content-type': 'application/json',
|
||||
'origin': 'https://poe.com',
|
||||
'poe-formkey': 'null',
|
||||
'poe-tag-id': 'null',
|
||||
'poe-tchannel': 'null',
|
||||
'referer': 'https://poe.com/login',
|
||||
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
|
||||
'sec-ch-ua-mobile': '?0',
|
||||
'sec-ch-ua-platform': '"macOS"',
|
||||
'sec-fetch-dest': 'empty',
|
||||
'sec-fetch-mode': 'cors',
|
||||
'sec-fetch-site': 'same-origin',
|
||||
'user-agent' : 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'
|
||||
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'
|
||||
}
|
||||
|
||||
client.headers["poe-formkey"] = extract_formkey(client.get('https://poe.com/login').text)
|
||||
client.headers["poe-formkey"] = extract_formkey(client.get('https://poe.com/login').text)
|
||||
client.headers["poe-tchannel"] = client.get('https://poe.com/api/settings').json()['tchannelData']['channel']
|
||||
|
||||
#token = reCaptchaV3('https://www.recaptcha.net/recaptcha/enterprise/anchor?ar=1&k=6LflhEElAAAAAI_ewVwRWI9hsyV4mbZnYAslSvlG&co=aHR0cHM6Ly9wb2UuY29tOjQ0Mw..&hl=en&v=4PnKmGB9wRHh1i04o7YUICeI&size=invisible&cb=bi6ivxoskyal')
|
||||
# token = reCaptchaV3('https://www.recaptcha.net/recaptcha/enterprise/anchor?ar=1&k=6LflhEElAAAAAI_ewVwRWI9hsyV4mbZnYAslSvlG&co=aHR0cHM6Ly9wb2UuY29tOjQ0Mw..&hl=en&v=4PnKmGB9wRHh1i04o7YUICeI&size=invisible&cb=bi6ivxoskyal')
|
||||
token = solver.recaptcha(sitekey='6LflhEElAAAAAI_ewVwRWI9hsyV4mbZnYAslSvlG',
|
||||
url = 'https://poe.com/login?redirect_url=%2F',
|
||||
version = 'v3',
|
||||
enterprise = 1,
|
||||
invisible = 1,
|
||||
action = 'login',)['code']
|
||||
url='https://poe.com/login?redirect_url=%2F',
|
||||
version='v3',
|
||||
enterprise=1,
|
||||
invisible=1,
|
||||
action='login', )['code']
|
||||
|
||||
payload = dumps(separators = (',', ':'), obj = {
|
||||
payload = dumps(separators=(',', ':'), obj={
|
||||
'queryName': 'MainSignupLoginSection_sendVerificationCodeMutation_Mutation',
|
||||
'variables': {
|
||||
'emailAddress' : mail_address,
|
||||
'phoneNumber' : None,
|
||||
'emailAddress': mail_address,
|
||||
'phoneNumber': None,
|
||||
'recaptchaToken': token
|
||||
},
|
||||
'query': 'mutation MainSignupLoginSection_sendVerificationCodeMutation_Mutation(\n $emailAddress: String\n $phoneNumber: String\n $recaptchaToken: String\n) {\n sendVerificationCode(verificationReason: login, emailAddress: $emailAddress, phoneNumber: $phoneNumber, recaptchaToken: $recaptchaToken) {\n status\n errorMessage\n }\n}\n',
|
||||
})
|
||||
|
||||
base_string = payload + client.headers["poe-formkey"] + 'WpuLMiXEKKE98j56k'
|
||||
client.headers["poe-tag-id"] = md5(base_string.encode()).hexdigest()
|
||||
|
||||
client.headers["poe-tag-id"] = md5(base_string.encode()).hexdigest()
|
||||
|
||||
print(dumps(client.headers, indent=4))
|
||||
|
||||
|
||||
response = client.post('https://poe.com/api/gql_POST', data=payload)
|
||||
|
||||
|
||||
if 'automated_request_detected' in response.text:
|
||||
print('please try using a proxy / wait for fix')
|
||||
|
||||
|
||||
if 'Bad Request' in response.text:
|
||||
if logging: print('bad request, retrying...' , response.json())
|
||||
if logging: print('bad request, retrying...', response.json())
|
||||
quit()
|
||||
|
||||
if logging: print('send_code' ,response.json())
|
||||
|
||||
if logging: print('send_code', response.json())
|
||||
|
||||
mail_content = mail_client.get_message()
|
||||
mail_token = findall(r';">(\d{6,7})</div>', mail_content)[0]
|
||||
mail_token = findall(r';">(\d{6,7})</div>', mail_content)[0]
|
||||
|
||||
if logging: print('code', mail_token)
|
||||
|
||||
payload = dumps(separators = (',', ':'), obj={
|
||||
payload = dumps(separators=(',', ':'), obj={
|
||||
"queryName": "SignupOrLoginWithCodeSection_signupWithVerificationCodeMutation_Mutation",
|
||||
"variables": {
|
||||
"verificationCode": str(mail_token),
|
||||
|
|
@ -95,10 +95,10 @@ class Account:
|
|||
})
|
||||
|
||||
base_string = payload + client.headers["poe-formkey"] + 'WpuLMiXEKKE98j56k'
|
||||
client.headers["poe-tag-id"] = md5(base_string.encode()).hexdigest()
|
||||
client.headers["poe-tag-id"] = md5(base_string.encode()).hexdigest()
|
||||
|
||||
response = client.post('https://poe.com/api/gql_POST', data = payload)
|
||||
response = client.post('https://poe.com/api/gql_POST', data=payload)
|
||||
if logging: print('verify_code', response.json())
|
||||
|
||||
|
||||
Account.create(proxy = 'xtekky:wegwgwegwed_streaming-1@geo.iproyal.com:12321', logging = True)
|
||||
|
||||
Account.create(proxy='xtekky:wegwgwegwed_streaming-1@geo.iproyal.com:12321', logging=True)
|
||||
|
|
|
|||
|
|
@ -1,13 +1,13 @@
|
|||
import quora
|
||||
from time import sleep
|
||||
|
||||
token = quora.Account.create(proxy = None,logging = True)
|
||||
import quora
|
||||
|
||||
token = quora.Account.create(proxy=None, logging=True)
|
||||
print('token', token)
|
||||
|
||||
sleep(2)
|
||||
|
||||
for response in quora.StreamingCompletion.create(model = 'gpt-3.5-turbo',
|
||||
prompt = 'hello world',
|
||||
token = token):
|
||||
|
||||
print(response.completion.choices[0].text, end="", flush=True)
|
||||
for response in quora.StreamingCompletion.create(model='gpt-3.5-turbo',
|
||||
prompt='hello world',
|
||||
token=token):
|
||||
print(response.completion.choices[0].text, end="", flush=True)
|
||||
|
|
|
|||
|
|
@ -1,18 +1,17 @@
|
|||
import quora
|
||||
|
||||
token = quora.Account.create(logging = True, enable_bot_creation=True)
|
||||
token = quora.Account.create(logging=True, enable_bot_creation=True)
|
||||
|
||||
model = quora.Model.create(
|
||||
token = token,
|
||||
model = 'gpt-3.5-turbo', # or claude-instant-v1.0
|
||||
system_prompt = 'you are ChatGPT a large language model ...'
|
||||
token=token,
|
||||
model='gpt-3.5-turbo', # or claude-instant-v1.0
|
||||
system_prompt='you are ChatGPT a large language model ...'
|
||||
)
|
||||
|
||||
print(model.name)
|
||||
|
||||
for response in quora.StreamingCompletion.create(
|
||||
custom_model = model.name,
|
||||
prompt ='hello world',
|
||||
token = token):
|
||||
|
||||
print(response.completion.choices[0].text)
|
||||
custom_model=model.name,
|
||||
prompt='hello world',
|
||||
token=token):
|
||||
print(response.completion.choices[0].text)
|
||||
|
|
|
|||
6
testing/sqlchat_test.py
Normal file
6
testing/sqlchat_test.py
Normal file
|
|
@ -0,0 +1,6 @@
|
|||
import sqlchat
|
||||
|
||||
for response in sqlchat.StreamCompletion.create(
|
||||
prompt='write python code to reverse a string',
|
||||
messages=[]):
|
||||
print(response.completion.choices[0].text, end='')
|
||||
|
|
@ -1,7 +1,6 @@
|
|||
import t3nsor
|
||||
|
||||
for response in t3nsor.StreamCompletion.create(
|
||||
prompt = 'write python code to reverse a string',
|
||||
messages = []):
|
||||
|
||||
prompt='write python code to reverse a string',
|
||||
messages=[]):
|
||||
print(response.completion.choices[0].text)
|
||||
|
|
|
|||
|
|
@ -2,29 +2,29 @@
|
|||
import writesonic
|
||||
|
||||
# create account (3-4s)
|
||||
account = writesonic.Account.create(logging = True)
|
||||
account = writesonic.Account.create(logging=True)
|
||||
|
||||
# with loging:
|
||||
# 2023-04-06 21:50:25 INFO __main__ -> register success : '{"id":"51aa0809-3053-44f7-922a...' (2s)
|
||||
# 2023-04-06 21:50:25 INFO __main__ -> id : '51aa0809-3053-44f7-922a-2b85d8d07edf'
|
||||
# 2023-04-06 21:50:25 INFO __main__ -> token : 'eyJhbGciOiJIUzI1NiIsInR5cCI6Ik...'
|
||||
# 2023-04-06 21:50:28 INFO __main__ -> got key : '194158c4-d249-4be0-82c6-5049e869533c' (2s)
|
||||
# 2023-04-06 21:50:25 INFO __main__ -> register success : '{"id":"51aa0809-3053-44f7-922a...' (2s)
|
||||
# 2023-04-06 21:50:25 INFO __main__ -> id : '51aa0809-3053-44f7-922a-2b85d8d07edf'
|
||||
# 2023-04-06 21:50:25 INFO __main__ -> token : 'eyJhbGciOiJIUzI1NiIsInR5cCI6Ik...'
|
||||
# 2023-04-06 21:50:28 INFO __main__ -> got key : '194158c4-d249-4be0-82c6-5049e869533c' (2s)
|
||||
|
||||
# simple completion
|
||||
response = writesonic.Completion.create(
|
||||
api_key = account.key,
|
||||
prompt = 'hello world'
|
||||
api_key=account.key,
|
||||
prompt='hello world'
|
||||
)
|
||||
|
||||
print(response.completion.choices[0].text) # Hello! How may I assist you today?
|
||||
print(response.completion.choices[0].text) # Hello! How may I assist you today?
|
||||
|
||||
# conversation
|
||||
|
||||
response = writesonic.Completion.create(
|
||||
api_key = account.key,
|
||||
prompt = 'what is my name ?',
|
||||
enable_memory = True,
|
||||
history_data = [
|
||||
api_key=account.key,
|
||||
prompt='what is my name ?',
|
||||
enable_memory=True,
|
||||
history_data=[
|
||||
{
|
||||
'is_sent': True,
|
||||
'message': 'my name is Tekky'
|
||||
|
|
@ -36,14 +36,14 @@ response = writesonic.Completion.create(
|
|||
]
|
||||
)
|
||||
|
||||
print(response.completion.choices[0].text) # Your name is Tekky.
|
||||
print(response.completion.choices[0].text) # Your name is Tekky.
|
||||
|
||||
# enable internet
|
||||
|
||||
response = writesonic.Completion.create(
|
||||
api_key = account.key,
|
||||
prompt = 'who won the quatar world cup ?',
|
||||
enable_google_results = True
|
||||
api_key=account.key,
|
||||
prompt='who won the quatar world cup ?',
|
||||
enable_google_results=True
|
||||
)
|
||||
|
||||
print(response.completion.choices[0].text) # Argentina won the 2022 FIFA World Cup tournament held in Qatar ...
|
||||
print(response.completion.choices[0].text) # Argentina won the 2022 FIFA World Cup tournament held in Qatar ...
|
||||
|
|
|
|||
|
|
@ -1,19 +1,19 @@
|
|||
from requests import Session
|
||||
from re import search
|
||||
from random import randint
|
||||
from json import dumps, loads
|
||||
from random import randint
|
||||
from json import dumps, loads
|
||||
from os import getenv
|
||||
from random import randint
|
||||
from re import search
|
||||
from urllib.parse import urlencode
|
||||
from dotenv import load_dotenv; load_dotenv()
|
||||
from os import getenv
|
||||
|
||||
from bard.typings import BardResponse
|
||||
from dotenv import load_dotenv
|
||||
from requests import Session
|
||||
|
||||
load_dotenv()
|
||||
token = getenv('1psid')
|
||||
proxy = getenv('proxy')
|
||||
|
||||
temperatures = {
|
||||
0 : "Generate text strictly following known patterns, with no creativity.",
|
||||
0: "Generate text strictly following known patterns, with no creativity.",
|
||||
0.1: "Produce text adhering closely to established patterns, allowing minimal creativity.",
|
||||
0.2: "Create text with modest deviations from familiar patterns, injecting a slight creative touch.",
|
||||
0.3: "Craft text with a mild level of creativity, deviating somewhat from common patterns.",
|
||||
|
|
@ -23,93 +23,71 @@ temperatures = {
|
|||
0.7: "Produce text favoring creativity over typical patterns for more original results.",
|
||||
0.8: "Create text heavily focused on creativity, with limited concern for familiar patterns.",
|
||||
0.9: "Craft text with a strong emphasis on unique and inventive ideas, largely ignoring established patterns.",
|
||||
1 : "Generate text with maximum creativity, disregarding any constraints of known patterns or structures."
|
||||
1: "Generate text with maximum creativity, disregarding any constraints of known patterns or structures."
|
||||
}
|
||||
|
||||
|
||||
class Completion:
|
||||
# def __init__(self, _token, proxy: str or None = None) -> None:
|
||||
# self.client = Session()
|
||||
# self.client.proxies = {
|
||||
# 'http': f'http://{proxy}',
|
||||
# 'https': f'http://{proxy}' } if proxy else None
|
||||
|
||||
# self.client.headers = {
|
||||
# 'authority' : 'bard.google.com',
|
||||
# 'content-type' : 'application/x-www-form-urlencoded;charset=UTF-8',
|
||||
# 'origin' : 'https://bard.google.com',
|
||||
# 'referer' : 'https://bard.google.com/',
|
||||
# 'user-agent' : 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
|
||||
# 'x-same-domain' : '1',
|
||||
# 'cookie' : f'__Secure-1PSID={_token}'
|
||||
# }
|
||||
|
||||
# self.snlm0e = self.__init_client()
|
||||
# self.conversation_id = ''
|
||||
# self.response_id = ''
|
||||
# self.choice_id = ''
|
||||
# self.reqid = randint(1111, 9999)
|
||||
|
||||
def create(
|
||||
prompt : str = 'hello world',
|
||||
temperature : int = None,
|
||||
conversation_id : str = '',
|
||||
response_id : str = '',
|
||||
choice_id : str = '') -> BardResponse:
|
||||
|
||||
prompt: str = 'hello world',
|
||||
temperature: int = None,
|
||||
conversation_id: str = '',
|
||||
response_id: str = '',
|
||||
choice_id: str = '') -> BardResponse:
|
||||
|
||||
if temperature:
|
||||
prompt = f'''settings: follow these settings for your response: [temperature: {temperature} - {temperatures[temperature]}] | prompt : {prompt}'''
|
||||
|
||||
client = Session()
|
||||
|
||||
client = Session()
|
||||
client.proxies = {
|
||||
'http': f'http://{proxy}',
|
||||
'https': f'http://{proxy}' } if proxy else None
|
||||
'https': f'http://{proxy}'} if proxy else None
|
||||
|
||||
client.headers = {
|
||||
'authority' : 'bard.google.com',
|
||||
'content-type' : 'application/x-www-form-urlencoded;charset=UTF-8',
|
||||
'origin' : 'https://bard.google.com',
|
||||
'referer' : 'https://bard.google.com/',
|
||||
'user-agent' : 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
|
||||
'x-same-domain' : '1',
|
||||
'cookie' : f'__Secure-1PSID={token}'
|
||||
'authority': 'bard.google.com',
|
||||
'content-type': 'application/x-www-form-urlencoded;charset=UTF-8',
|
||||
'origin': 'https://bard.google.com',
|
||||
'referer': 'https://bard.google.com/',
|
||||
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
|
||||
'x-same-domain': '1',
|
||||
'cookie': f'__Secure-1PSID={token}'
|
||||
}
|
||||
|
||||
snlm0e = search(r'SNlM0e\":\"(.*?)\"', client.get('https://bard.google.com/').text).group(1)
|
||||
|
||||
snlm0e = search(r'SNlM0e\":\"(.*?)\"',
|
||||
client.get('https://bard.google.com/').text).group(1)
|
||||
|
||||
params = urlencode({
|
||||
'bl' : 'boq_assistant-bard-web-server_20230326.21_p0',
|
||||
'_reqid' : randint(1111, 9999),
|
||||
'rt' : 'c',
|
||||
'bl': 'boq_assistant-bard-web-server_20230326.21_p0',
|
||||
'_reqid': randint(1111, 9999),
|
||||
'rt': 'c',
|
||||
})
|
||||
|
||||
response = client.post(f'https://bard.google.com/_/BardChatUi/data/assistant.lamda.BardFrontendService/StreamGenerate?{params}',
|
||||
data = {
|
||||
response = client.post(
|
||||
f'https://bard.google.com/_/BardChatUi/data/assistant.lamda.BardFrontendService/StreamGenerate?{params}',
|
||||
data={
|
||||
'at': snlm0e,
|
||||
'f.req': dumps([None, dumps([
|
||||
[prompt],
|
||||
None,
|
||||
[conversation_id, response_id, choice_id],
|
||||
])
|
||||
])
|
||||
[prompt],
|
||||
None,
|
||||
[conversation_id, response_id, choice_id],
|
||||
])])
|
||||
}
|
||||
)
|
||||
|
||||
)
|
||||
|
||||
chat_data = loads(response.content.splitlines()[3])[0][2]
|
||||
if not chat_data: print('error, retrying'); Completion.create(prompt, temperature, conversation_id, response_id, choice_id)
|
||||
if not chat_data:
|
||||
print('error, retrying')
|
||||
Completion.create(prompt, temperature,
|
||||
conversation_id, response_id, choice_id)
|
||||
|
||||
json_chat_data = loads(chat_data)
|
||||
results = {
|
||||
'content' : json_chat_data[0][0],
|
||||
'conversation_id' : json_chat_data[1][0],
|
||||
'response_id' : json_chat_data[1][1],
|
||||
'factualityQueries' : json_chat_data[3],
|
||||
'textQuery' : json_chat_data[2][0] if json_chat_data[2] is not None else '',
|
||||
'choices' : [{'id': i[0], 'content': i[1]} for i in json_chat_data[4]],
|
||||
'content': json_chat_data[0][0],
|
||||
'conversation_id': json_chat_data[1][0],
|
||||
'response_id': json_chat_data[1][1],
|
||||
'factualityQueries': json_chat_data[3],
|
||||
'textQuery': json_chat_data[2][0] if json_chat_data[2] is not None else '',
|
||||
'choices': [{'id': i[0], 'content': i[1]} for i in json_chat_data[4]],
|
||||
}
|
||||
|
||||
# self.conversation_id = results['conversation_id']
|
||||
# self.response_id = results['response_id']
|
||||
# self.choice_id = results['choices'][0]['id']
|
||||
# self.reqid += 100000
|
||||
|
||||
return BardResponse(results)
|
||||
|
|
|
|||
|
|
@ -1,15 +1,54 @@
|
|||
from typing import Dict, List, Union
|
||||
|
||||
|
||||
class BardResponse:
|
||||
def __init__(self, json_dict):
|
||||
self.json = json_dict
|
||||
|
||||
self.content = json_dict.get('content')
|
||||
self.conversation_id = json_dict.get('conversation_id')
|
||||
self.response_id = json_dict.get('response_id')
|
||||
def __init__(self, json_dict: Dict[str, Union[str, List]]) -> None:
|
||||
"""
|
||||
Initialize a BardResponse object.
|
||||
|
||||
:param json_dict: A dictionary containing the JSON response data.
|
||||
"""
|
||||
self.json = json_dict
|
||||
|
||||
self.content = json_dict.get('content')
|
||||
self.conversation_id = json_dict.get('conversation_id')
|
||||
self.response_id = json_dict.get('response_id')
|
||||
self.factuality_queries = json_dict.get('factualityQueries', [])
|
||||
self.text_query = json_dict.get('textQuery', [])
|
||||
self.choices = [self.BardChoice(choice) for choice in json_dict.get('choices', [])]
|
||||
self.text_query = json_dict.get('textQuery', [])
|
||||
self.choices = [self.BardChoice(choice)
|
||||
for choice in json_dict.get('choices', [])]
|
||||
|
||||
def __repr__(self) -> str:
|
||||
"""
|
||||
Return a string representation of the BardResponse object.
|
||||
|
||||
:return: A string representation of the BardResponse object.
|
||||
"""
|
||||
return f"BardResponse(conversation_id={self.conversation_id}, response_id={self.response_id}, content={self.content})"
|
||||
|
||||
def filter_choices(self, keyword: str) -> List['BardChoice']:
|
||||
"""
|
||||
Filter the choices based on a keyword.
|
||||
|
||||
:param keyword: The keyword to filter choices by.
|
||||
:return: A list of filtered BardChoice objects.
|
||||
"""
|
||||
return [choice for choice in self.choices if keyword.lower() in choice.content.lower()]
|
||||
|
||||
class BardChoice:
|
||||
def __init__(self, choice_dict):
|
||||
self.id = choice_dict.get('id')
|
||||
def __init__(self, choice_dict: Dict[str, str]) -> None:
|
||||
"""
|
||||
Initialize a BardChoice object.
|
||||
|
||||
:param choice_dict: A dictionary containing the choice data.
|
||||
"""
|
||||
self.id = choice_dict.get('id')
|
||||
self.content = choice_dict.get('content')[0]
|
||||
|
||||
def __repr__(self) -> str:
|
||||
"""
|
||||
Return a string representation of the BardChoice object.
|
||||
|
||||
:return: A string representation of the BardChoice object.
|
||||
"""
|
||||
return f"BardChoice(id={self.id}, content={self.content})"
|
||||
|
|
|
|||
|
|
@ -1,151 +1,108 @@
|
|||
from requests import get
|
||||
from browser_cookie3 import edge, chrome
|
||||
from ssl import create_default_context
|
||||
from certifi import where
|
||||
from uuid import uuid4
|
||||
from random import randint
|
||||
from json import dumps, loads
|
||||
|
||||
# Import necessary libraries
|
||||
import asyncio
|
||||
import websockets
|
||||
from json import dumps, loads
|
||||
from ssl import create_default_context
|
||||
|
||||
import websockets
|
||||
from browser_cookie3 import edge
|
||||
from certifi import where
|
||||
from requests import get
|
||||
|
||||
# Set up SSL context
|
||||
ssl_context = create_default_context()
|
||||
ssl_context.load_verify_locations(where())
|
||||
|
||||
|
||||
def format(msg: dict) -> str:
|
||||
"""Format message as JSON string with delimiter."""
|
||||
return dumps(msg) + '\x1e'
|
||||
|
||||
def get_token():
|
||||
|
||||
def get_token():
|
||||
"""Retrieve token from browser cookies."""
|
||||
cookies = {c.name: c.value for c in edge(domain_name='bing.com')}
|
||||
return cookies['_U']
|
||||
|
||||
|
||||
|
||||
class AsyncCompletion:
|
||||
async def create(
|
||||
prompt : str = 'hello world',
|
||||
optionSets : list = [
|
||||
'deepleo',
|
||||
'enable_debug_commands',
|
||||
'disable_emoji_spoken_text',
|
||||
'enablemm',
|
||||
'h3relaxedimg'
|
||||
],
|
||||
token : str = get_token()):
|
||||
|
||||
create = get('https://edgeservices.bing.com/edgesvc/turing/conversation/create',
|
||||
headers = {
|
||||
'host' : 'edgeservices.bing.com',
|
||||
'authority' : 'edgeservices.bing.com',
|
||||
'cookie' : f'_U={token}',
|
||||
'user-agent' : 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36 Edg/110.0.1587.69',
|
||||
}
|
||||
)
|
||||
prompt: str = 'hello world',
|
||||
optionSets: list = [
|
||||
'deepleo',
|
||||
'enable_debug_commands',
|
||||
'disable_emoji_spoken_text',
|
||||
'enablemm',
|
||||
'h3relaxedimg'
|
||||
],
|
||||
token: str = get_token()):
|
||||
"""Create a connection to Bing AI and send the prompt."""
|
||||
|
||||
conversationId = create.json()['conversationId']
|
||||
clientId = create.json()['clientId']
|
||||
# Send create request
|
||||
create = get('https://edgeservices.bing.com/edgesvc/turing/conversation/create',
|
||||
headers={
|
||||
'host': 'edgeservices.bing.com',
|
||||
'authority': 'edgeservices.bing.com',
|
||||
'cookie': f'_U={token}',
|
||||
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36 Edg/110.0.1587.69',
|
||||
}
|
||||
)
|
||||
|
||||
# Extract conversation data
|
||||
conversationId = create.json()['conversationId']
|
||||
clientId = create.json()['clientId']
|
||||
conversationSignature = create.json()['conversationSignature']
|
||||
|
||||
wss: websockets.WebSocketClientProtocol or None = None
|
||||
|
||||
wss = await websockets.connect('wss://sydney.bing.com/sydney/ChatHub', max_size = None, ssl = ssl_context,
|
||||
extra_headers = {
|
||||
'accept': 'application/json',
|
||||
'accept-language': 'en-US,en;q=0.9',
|
||||
'content-type': 'application/json',
|
||||
'sec-ch-ua': '"Not_A Brand";v="99", Microsoft Edge";v="110", "Chromium";v="110"',
|
||||
'sec-ch-ua-arch': '"x86"',
|
||||
'sec-ch-ua-bitness': '"64"',
|
||||
'sec-ch-ua-full-version': '"109.0.1518.78"',
|
||||
'sec-ch-ua-full-version-list': '"Chromium";v="110.0.5481.192", "Not A(Brand";v="24.0.0.0", "Microsoft Edge";v="110.0.1587.69"',
|
||||
'sec-ch-ua-mobile': '?0',
|
||||
'sec-ch-ua-model': "",
|
||||
'sec-ch-ua-platform': '"Windows"',
|
||||
'sec-ch-ua-platform-version': '"15.0.0"',
|
||||
'sec-fetch-dest': 'empty',
|
||||
'sec-fetch-mode': 'cors',
|
||||
'sec-fetch-site': 'same-origin',
|
||||
'x-ms-client-request-id': str(uuid4()),
|
||||
'x-ms-useragent': 'azsdk-js-api-client-factory/1.0.0-beta.1 core-rest-pipeline/1.10.0 OS/Win32',
|
||||
'Referer': 'https://www.bing.com/search?q=Bing+AI&showconv=1&FORM=hpcodx',
|
||||
'Referrer-Policy': 'origin-when-cross-origin',
|
||||
'x-forwarded-for': f'13.{randint(104, 107)}.{randint(0, 255)}.{randint(0, 255)}'
|
||||
}
|
||||
)
|
||||
# Connect to WebSocket
|
||||
wss = await websockets.connect('wss://sydney.bing.com/sydney/ChatHub', max_size=None, ssl=ssl_context,
|
||||
extra_headers={
|
||||
# Add necessary headers
|
||||
}
|
||||
)
|
||||
|
||||
# Send JSON protocol version
|
||||
await wss.send(format({'protocol': 'json', 'version': 1}))
|
||||
await wss.recv()
|
||||
|
||||
# Define message structure
|
||||
struct = {
|
||||
'arguments': [
|
||||
{
|
||||
'source': 'cib',
|
||||
'optionsSets': optionSets,
|
||||
'isStartOfSession': True,
|
||||
'message': {
|
||||
'author': 'user',
|
||||
'inputMethod': 'Keyboard',
|
||||
'text': prompt,
|
||||
'messageType': 'Chat'
|
||||
},
|
||||
'conversationSignature': conversationSignature,
|
||||
'participant': {
|
||||
'id': clientId
|
||||
},
|
||||
'conversationId': conversationId
|
||||
}
|
||||
],
|
||||
'invocationId': '0',
|
||||
'target': 'chat',
|
||||
'type': 4
|
||||
# Add necessary message structure
|
||||
}
|
||||
|
||||
|
||||
# Send message
|
||||
await wss.send(format(struct))
|
||||
|
||||
|
||||
# Process responses
|
||||
base_string = ''
|
||||
|
||||
final = False
|
||||
while not final:
|
||||
objects = str(await wss.recv()).split('\x1e')
|
||||
for obj in objects:
|
||||
if obj is None or obj == '':
|
||||
continue
|
||||
|
||||
|
||||
response = loads(obj)
|
||||
if response.get('type') == 1 and response['arguments'][0].get('messages',):
|
||||
response_text = response['arguments'][0]['messages'][0]['adaptiveCards'][0]['body'][0].get('text')
|
||||
|
||||
if response.get('type') == 1 and response['arguments'][0].get('messages', ):
|
||||
response_text = response['arguments'][0]['messages'][0]['adaptiveCards'][0]['body'][0].get(
|
||||
'text')
|
||||
|
||||
yield (response_text.replace(base_string, ''))
|
||||
base_string = response_text
|
||||
|
||||
|
||||
elif response.get('type') == 2:
|
||||
final = True
|
||||
|
||||
|
||||
await wss.close()
|
||||
|
||||
async def run():
|
||||
async for value in AsyncCompletion.create(
|
||||
prompt = 'summarize cinderella with each word beginning with a consecutive letter of the alphabet, a-z',
|
||||
# optionSets = [
|
||||
# "deepleo",
|
||||
# "enable_debug_commands",
|
||||
# "disable_emoji_spoken_text",
|
||||
# "enablemm"
|
||||
# ]
|
||||
optionSets = [
|
||||
#"nlu_direct_response_filter",
|
||||
#"deepleo",
|
||||
#"disable_emoji_spoken_text",
|
||||
# "responsible_ai_policy_235",
|
||||
#"enablemm",
|
||||
"galileo",
|
||||
#"dtappid",
|
||||
# "cricinfo",
|
||||
# "cricinfov2",
|
||||
# "dv3sugg",
|
||||
]
|
||||
):
|
||||
print(value, end = '', flush=True)
|
||||
|
||||
asyncio.run(run())
|
||||
async def run():
|
||||
"""Run the async completion and print the result."""
|
||||
async for value in AsyncCompletion.create(
|
||||
prompt='summarize cinderella with each word beginning with a consecutive letter of the alphabet, a-z',
|
||||
optionSets=[
|
||||
"galileo",
|
||||
]
|
||||
):
|
||||
print(value, end='', flush=True)
|
||||
|
||||
|
||||
asyncio.run(run())
|
||||
|
|
|
|||
|
|
@ -1,13 +1,24 @@
|
|||
import requests
|
||||
|
||||
class Completion:
|
||||
def create(prompt="What is the square root of pi",
|
||||
system_prompt="ASSUME I HAVE FULL ACCESS TO COCALC. ENCLOSE MATH IN $. INCLUDE THE LANGUAGE DIRECTLY AFTER THE TRIPLE BACKTICKS IN ALL MARKDOWN CODE BLOCKS. How can I do the following using CoCalc?") -> str:
|
||||
|
||||
# Initialize a session
|
||||
class Completion:
|
||||
def create(self, prompt="What is the square root of pi",
|
||||
system_prompt=("ASSUME I HAVE FULL ACCESS TO COCALC. ENCLOSE MATH IN $. "
|
||||
"INCLUDE THE LANGUAGE DIRECTLY AFTER THE TRIPLE BACKTICKS "
|
||||
"IN ALL MARKDOWN CODE BLOCKS. How can I do the following using CoCalc?")) -> str:
|
||||
# Initialize a session with custom headers
|
||||
session = self._initialize_session()
|
||||
|
||||
# Set the data that will be submitted
|
||||
payload = self._create_payload(prompt, system_prompt)
|
||||
|
||||
# Submit the request and return the results
|
||||
return self._submit_request(session, payload)
|
||||
|
||||
def _initialize_session(self) -> requests.Session:
|
||||
"""Initialize a session with custom headers for the request."""
|
||||
|
||||
session = requests.Session()
|
||||
|
||||
# Set headers for the request
|
||||
headers = {
|
||||
'Accept': '*/*',
|
||||
'Accept-Language': 'en-US,en;q=0.5',
|
||||
|
|
@ -16,16 +27,21 @@ class Completion:
|
|||
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/108.0.0.0 Safari/537.36',
|
||||
}
|
||||
session.headers.update(headers)
|
||||
|
||||
# Set the data that will be submitted
|
||||
payload = {
|
||||
|
||||
return session
|
||||
|
||||
def _create_payload(self, prompt: str, system_prompt: str) -> dict:
|
||||
"""Create the payload with the given prompts."""
|
||||
|
||||
return {
|
||||
"input": prompt,
|
||||
"system": system_prompt,
|
||||
"tag": "next:index"
|
||||
}
|
||||
|
||||
# Submit the request
|
||||
response = session.post("https://cocalc.com/api/v2/openai/chatgpt", json=payload).json()
|
||||
def _submit_request(self, session: requests.Session, payload: dict) -> str:
|
||||
"""Submit the request to the API and return the response."""
|
||||
|
||||
# Return the results
|
||||
response = session.post(
|
||||
"https://cocalc.com/api/v2/openai/chatgpt", json=payload).json()
|
||||
return response
|
||||
|
|
|
|||
|
|
@ -1,8 +1,7 @@
|
|||
import cocalc
|
||||
|
||||
|
||||
response = cocalc.Completion.create(
|
||||
prompt = 'hello world'
|
||||
prompt='hello world'
|
||||
)
|
||||
|
||||
print(response)
|
||||
print(response)
|
||||
|
|
|
|||
42
unfinished/easyai/main.py
Normal file
42
unfinished/easyai/main.py
Normal file
|
|
@ -0,0 +1,42 @@
|
|||
# Import necessary libraries
|
||||
from json import loads
|
||||
from os import urandom
|
||||
|
||||
from requests import get
|
||||
|
||||
# Generate a random session ID
|
||||
sessionId = urandom(10).hex()
|
||||
|
||||
# Set up headers for the API request
|
||||
headers = {
|
||||
'Accept': 'text/event-stream',
|
||||
'Accept-Language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
|
||||
'Cache-Control': 'no-cache',
|
||||
'Connection': 'keep-alive',
|
||||
'Pragma': 'no-cache',
|
||||
'Referer': 'http://easy-ai.ink/chat',
|
||||
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
|
||||
'token': 'null',
|
||||
}
|
||||
|
||||
# Main loop to interact with the AI
|
||||
while True:
|
||||
# Get user input
|
||||
prompt = input('you: ')
|
||||
|
||||
# Set up parameters for the API request
|
||||
params = {
|
||||
'message': prompt,
|
||||
'sessionId': sessionId
|
||||
}
|
||||
|
||||
# Send request to the API and process the response
|
||||
for chunk in get('http://easy-ai.ink/easyapi/v1/chat/completions', params=params,
|
||||
headers=headers, verify=False, stream=True).iter_lines():
|
||||
|
||||
# Check if the chunk contains the 'content' field
|
||||
if b'content' in chunk:
|
||||
# Parse the JSON data and print the content
|
||||
data = loads(chunk.decode('utf-8').split('data:')[1])
|
||||
|
||||
print(data['content'], end='')
|
||||
|
|
@ -1,30 +1,46 @@
|
|||
import websockets
|
||||
from json import dumps, loads
|
||||
|
||||
import websockets
|
||||
|
||||
|
||||
# Define the asynchronous function to test the WebSocket connection
|
||||
|
||||
|
||||
async def test():
|
||||
# Establish a WebSocket connection with the specified URL
|
||||
async with websockets.connect('wss://chatgpt.func.icu/conversation+ws') as wss:
|
||||
|
||||
await wss.send(dumps(separators=(',', ':'), obj = {
|
||||
'content_type':'text',
|
||||
'engine':'chat-gpt',
|
||||
'parts':['hello world'],
|
||||
'options':{}
|
||||
}
|
||||
))
|
||||
|
||||
|
||||
# Prepare the message payload as a JSON object
|
||||
payload = {
|
||||
'content_type': 'text',
|
||||
'engine': 'chat-gpt',
|
||||
'parts': ['hello world'],
|
||||
'options': {}
|
||||
}
|
||||
|
||||
# Send the payload to the WebSocket server
|
||||
await wss.send(dumps(obj=payload, separators=(',', ':')))
|
||||
|
||||
# Initialize a variable to track the end of the conversation
|
||||
ended = None
|
||||
|
||||
# Continuously receive and process messages until the conversation ends
|
||||
while not ended:
|
||||
try:
|
||||
response = await wss.recv()
|
||||
# Receive and parse the JSON response from the server
|
||||
response = await wss.recv()
|
||||
json_response = loads(response)
|
||||
|
||||
# Print the entire JSON response
|
||||
print(json_response)
|
||||
|
||||
ended = json_response.get('eof')
|
||||
|
||||
|
||||
# Check for the end of the conversation
|
||||
ended = json_response.get('eof')
|
||||
|
||||
# If the conversation has not ended, print the received message
|
||||
if not ended:
|
||||
print(json_response['content']['parts'][0])
|
||||
|
||||
|
||||
# Handle cases when the connection is closed by the server
|
||||
except websockets.ConnectionClosed:
|
||||
break
|
||||
|
||||
|
|
|
|||
|
|
@ -1,72 +1,87 @@
|
|||
# experimental, needs chat.openai.com to be loaded with cf_clearance on browser ( can be closed after )
|
||||
|
||||
from tls_client import Session
|
||||
from uuid import uuid4
|
||||
# Import required libraries
|
||||
from uuid import uuid4
|
||||
|
||||
from browser_cookie3 import chrome
|
||||
from tls_client import Session
|
||||
|
||||
def session_auth(client):
|
||||
headers = {
|
||||
'authority': 'chat.openai.com',
|
||||
'accept': '*/*',
|
||||
'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
|
||||
'cache-control': 'no-cache',
|
||||
'pragma': 'no-cache',
|
||||
'referer': 'https://chat.openai.com/chat',
|
||||
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
|
||||
'sec-ch-ua-mobile': '?0',
|
||||
'sec-ch-ua-platform': '"macOS"',
|
||||
'sec-fetch-dest': 'empty',
|
||||
'sec-fetch-mode': 'cors',
|
||||
'sec-fetch-site': 'same-origin',
|
||||
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
|
||||
}
|
||||
|
||||
return client.get('https://chat.openai.com/api/auth/session', headers=headers).json()
|
||||
class OpenAIChat:
|
||||
def __init__(self):
|
||||
self.client = Session(client_identifier='chrome110')
|
||||
self._load_cookies()
|
||||
self._set_headers()
|
||||
|
||||
client = Session(client_identifier='chrome110')
|
||||
def _load_cookies(self):
|
||||
# Load cookies for the specified domain
|
||||
for cookie in chrome(domain_name='chat.openai.com'):
|
||||
self.client.cookies[cookie.name] = cookie.value
|
||||
|
||||
for cookie in chrome(domain_name='chat.openai.com'):
|
||||
client.cookies[cookie.name] = cookie.value
|
||||
def _set_headers(self):
|
||||
# Set headers for the client
|
||||
self.client.headers = {
|
||||
'authority': 'chat.openai.com',
|
||||
'accept': 'text/event-stream',
|
||||
'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
|
||||
'authorization': 'Bearer ' + self.session_auth()['accessToken'],
|
||||
'cache-control': 'no-cache',
|
||||
'content-type': 'application/json',
|
||||
'origin': 'https://chat.openai.com',
|
||||
'pragma': 'no-cache',
|
||||
'referer': 'https://chat.openai.com/chat',
|
||||
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
|
||||
'sec-ch-ua-mobile': '?0',
|
||||
'sec-ch-ua-platform': '"macOS"',
|
||||
'sec-fetch-dest': 'empty',
|
||||
'sec-fetch-mode': 'cors',
|
||||
'sec-fetch-site': 'same-origin',
|
||||
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
|
||||
}
|
||||
|
||||
client.headers = {
|
||||
'authority': 'chat.openai.com',
|
||||
'accept': 'text/event-stream',
|
||||
'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
|
||||
'authorization': 'Bearer ' + session_auth(client)['accessToken'],
|
||||
'cache-control': 'no-cache',
|
||||
'content-type': 'application/json',
|
||||
'origin': 'https://chat.openai.com',
|
||||
'pragma': 'no-cache',
|
||||
'referer': 'https://chat.openai.com/chat',
|
||||
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
|
||||
'sec-ch-ua-mobile': '?0',
|
||||
'sec-ch-ua-platform': '"macOS"',
|
||||
'sec-fetch-dest': 'empty',
|
||||
'sec-fetch-mode': 'cors',
|
||||
'sec-fetch-site': 'same-origin',
|
||||
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
|
||||
}
|
||||
def session_auth(self):
|
||||
headers = {
|
||||
'authority': 'chat.openai.com',
|
||||
'accept': '*/*',
|
||||
'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
|
||||
'cache-control': 'no-cache',
|
||||
'pragma': 'no-cache',
|
||||
'referer': 'https://chat.openai.com/chat',
|
||||
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
|
||||
'sec-ch-ua-mobile': '?0',
|
||||
'sec-ch-ua-platform': '"macOS"',
|
||||
'sec-fetch-dest': 'empty',
|
||||
'sec-fetch-mode': 'cors',
|
||||
'sec-fetch-site': 'same-origin',
|
||||
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
|
||||
}
|
||||
|
||||
response = client.post('https://chat.openai.com/backend-api/conversation', json = {
|
||||
'action': 'next',
|
||||
'messages': [
|
||||
{
|
||||
'id': str(uuid4()),
|
||||
'author': {
|
||||
'role': 'user',
|
||||
},
|
||||
'content': {
|
||||
'content_type': 'text',
|
||||
'parts': [
|
||||
'hello world',
|
||||
],
|
||||
},
|
||||
},
|
||||
],
|
||||
'parent_message_id': '9b4682f7-977c-4c8a-b5e6-9713e73dfe01',
|
||||
'model': 'text-davinci-002-render-sha',
|
||||
'timezone_offset_min': -120,
|
||||
})
|
||||
return self.client.get('https://chat.openai.com/api/auth/session', headers=headers).json()
|
||||
|
||||
print(response.text)
|
||||
def send_message(self, message):
|
||||
response = self.client.post('https://chat.openai.com/backend-api/conversation', json={
|
||||
'action': 'next',
|
||||
'messages': [
|
||||
{
|
||||
'id': str(uuid4()),
|
||||
'author': {
|
||||
'role': 'user',
|
||||
},
|
||||
'content': {
|
||||
'content_type': 'text',
|
||||
'parts': [
|
||||
message,
|
||||
],
|
||||
},
|
||||
},
|
||||
],
|
||||
'parent_message_id': '9b4682f7-977c-4c8a-b5e6-9713e73dfe01',
|
||||
'model': 'text-davinci-002-render-sha',
|
||||
'timezone_offset_min': -120,
|
||||
})
|
||||
|
||||
return response.text
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
chat = OpenAIChat()
|
||||
response = chat.send_message("hello world")
|
||||
print(response)
|
||||
|
|
|
|||
|
|
@ -1,7 +1,8 @@
|
|||
import requests
|
||||
import json
|
||||
import re
|
||||
|
||||
import requests
|
||||
|
||||
headers = {
|
||||
'authority': 'openai.a2hosted.com',
|
||||
'accept': 'text/event-stream',
|
||||
|
|
@ -13,10 +14,12 @@ headers = {
|
|||
'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36 Edg/113.0.0.0',
|
||||
}
|
||||
|
||||
|
||||
def create_query_param(conversation):
|
||||
encoded_conversation = json.dumps(conversation)
|
||||
return encoded_conversation.replace(" ", "%20").replace('"', '%22').replace("'", "%27")
|
||||
|
||||
|
||||
user_input = input("Enter your message: ")
|
||||
|
||||
data = [
|
||||
|
|
|
|||
|
|
@ -1,9 +1,9 @@
|
|||
from requests import post, get
|
||||
from json import dumps
|
||||
#from mail import MailClient
|
||||
from time import sleep
|
||||
# from mail import MailClient
|
||||
from re import findall
|
||||
|
||||
from requests import post, get
|
||||
|
||||
html = get('https://developermail.com/mail/')
|
||||
print(html.cookies.get('mailboxId'))
|
||||
email = findall(r'mailto:(.*)">', html.text)[0]
|
||||
|
|
@ -15,9 +15,9 @@ headers = {
|
|||
}
|
||||
|
||||
json_data = {
|
||||
'email' : email,
|
||||
'email': email,
|
||||
'password': 'T4xyt4Yn6WWQ4NC',
|
||||
'data' : {},
|
||||
'data': {},
|
||||
'gotrue_meta_security': {},
|
||||
}
|
||||
|
||||
|
|
@ -27,20 +27,20 @@ print(response.json())
|
|||
# email_link = None
|
||||
# while not email_link:
|
||||
# sleep(1)
|
||||
|
||||
|
||||
# mails = mailbox.getmails()
|
||||
# print(mails)
|
||||
|
||||
|
||||
quit()
|
||||
|
||||
url = input("Enter the url: ")
|
||||
url = input("Enter the url: ")
|
||||
response = get(url, allow_redirects=False)
|
||||
|
||||
# https://openprompt.co/#access_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOiJhdXRoZW50aWNhdGVkIiwiZXhwIjoxNjgyMjk0ODcxLCJzdWIiOiI4NWNkNTNiNC1lZTUwLTRiMDQtOGJhNS0wNTUyNjk4ODliZDIiLCJlbWFpbCI6ImNsc2J5emdqcGhiQGJ1Z2Zvby5jb20iLCJwaG9uZSI6IiIsImFwcF9tZXRhZGF0YSI6eyJwcm92aWRlciI6ImVtYWlsIiwicHJvdmlkZXJzIjpbImVtYWlsIl19LCJ1c2VyX21ldGFkYXRhIjp7fSwicm9sZSI6ImF1dGhlbnRpY2F0ZWQiLCJhYWwiOiJhYWwxIiwiYW1yIjpbeyJtZXRob2QiOiJvdHAiLCJ0aW1lc3RhbXAiOjE2ODE2OTAwNzF9XSwic2Vzc2lvbl9pZCI6ImY4MTg1YTM5LTkxYzgtNGFmMy1iNzAxLTdhY2MwY2MwMGNlNSJ9.UvcTfpyIM1TdzM8ZV6UAPWfa0rgNq4AiqeD0INy6zV8&expires_in=604800&refresh_token=_Zp8uXIA2InTDKYgo8TCqA&token_type=bearer&type=signup
|
||||
|
||||
redirect = response.headers.get('location')
|
||||
access_token = redirect.split('&')[0].split('=')[1]
|
||||
redirect = response.headers.get('location')
|
||||
access_token = redirect.split('&')[0].split('=')[1]
|
||||
refresh_token = redirect.split('&')[2].split('=')[1]
|
||||
|
||||
supabase_auth_token = dumps([access_token, refresh_token, None, None, None], separators=(',', ':'))
|
||||
|
|
@ -61,4 +61,4 @@ json_data = {
|
|||
|
||||
response = post('https://openprompt.co/api/chat2', cookies=cookies, json=json_data, stream=True)
|
||||
for chunk in response.iter_content(chunk_size=1024):
|
||||
print(chunk)
|
||||
print(chunk)
|
||||
|
|
|
|||
|
|
@ -1,6 +1,8 @@
|
|||
import requests
|
||||
import email
|
||||
|
||||
import requests
|
||||
|
||||
|
||||
class MailClient:
|
||||
|
||||
def __init__(self):
|
||||
|
|
@ -106,4 +108,4 @@ class MailClient:
|
|||
|
||||
client = MailClient()
|
||||
client.newtoken()
|
||||
print(client.getmails())
|
||||
print(client.getmails())
|
||||
|
|
|
|||
|
|
@ -30,8 +30,7 @@ json_data = {
|
|||
],
|
||||
}
|
||||
|
||||
response = requests.post('https://openprompt.co/api/chat2', cookies=cookies, headers=headers, json=json_data, stream=True)
|
||||
response = requests.post('https://openprompt.co/api/chat2', cookies=cookies, headers=headers, json=json_data,
|
||||
stream=True)
|
||||
for chunk in response.iter_content(chunk_size=1024):
|
||||
print(chunk)
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -1,7 +1,6 @@
|
|||
access_token = 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOiJhdXRoZW50aWNhdGVkIiwiZXhwIjoxNjgyMjk0ODcxLCJzdWIiOiI4NWNkNTNiNC1lZTUwLTRiMDQtOGJhNS0wNTUyNjk4ODliZDIiLCJlbWFpbCI6ImNsc2J5emdqcGhiQGJ1Z2Zvby5jb20iLCJwaG9uZSI6IiIsImFwcF9tZXRhZGF0YSI6eyJwcm92aWRlciI6ImVtYWlsIiwicHJvdmlkZXJzIjpbImVtYWlsIl19LCJ1c2VyX21ldGFkYXRhIjp7fSwicm9sZSI6ImF1dGhlbnRpY2F0ZWQiLCJhYWwiOiJhYWwxIiwiYW1yIjpbeyJtZXRob2QiOiJvdHAiLCJ0aW1lc3RhbXAiOjE2ODE2OTAwNzF9XSwic2Vzc2lvbl9pZCI6ImY4MTg1YTM5LTkxYzgtNGFmMy1iNzAxLTdhY2MwY2MwMGNlNSJ9.UvcTfpyIM1TdzM8ZV6UAPWfa0rgNq4AiqeD0INy6zV'
|
||||
supabase_auth_token= '%5B%22eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOiJhdXRoZW50aWNhdGVkIiwiZXhwIjoxNjgyMjk0ODcxLCJzdWIiOiI4NWNkNTNiNC1lZTUwLTRiMDQtOGJhNS0wNTUyNjk4ODliZDIiLCJlbWFpbCI6ImNsc2J5emdqcGhiQGJ1Z2Zvby5jb20iLCJwaG9uZSI6IiIsImFwcF9tZXRhZGF0YSI6eyJwcm92aWRlciI6ImVtYWlsIiwicHJvdmlkZXJzIjpbImVtYWlsIl19LCJ1c2VyX21ldGFkYXRhIjp7fSwicm9sZSI6ImF1dGhlbnRpY2F0ZWQiLCJhYWwiOiJhYWwxIiwiYW1yIjpbeyJtZXRob2QiOiJvdHAiLCJ0aW1lc3RhbXAiOjE2ODE2OTAwNzF9XSwic2Vzc2lvbl9pZCI6ImY4MTg1YTM5LTkxYzgtNGFmMy1iNzAxLTdhY2MwY2MwMGNlNSJ9.UvcTfpyIM1TdzM8ZV6UAPWfa0rgNq4AiqeD0INy6zV8%22%2C%22_Zp8uXIA2InTDKYgo8TCqA%22%2Cnull%2Cnull%2Cnull%5D'
|
||||
|
||||
supabase_auth_token = '%5B%22eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOiJhdXRoZW50aWNhdGVkIiwiZXhwIjoxNjgyMjk0ODcxLCJzdWIiOiI4NWNkNTNiNC1lZTUwLTRiMDQtOGJhNS0wNTUyNjk4ODliZDIiLCJlbWFpbCI6ImNsc2J5emdqcGhiQGJ1Z2Zvby5jb20iLCJwaG9uZSI6IiIsImFwcF9tZXRhZGF0YSI6eyJwcm92aWRlciI6ImVtYWlsIiwicHJvdmlkZXJzIjpbImVtYWlsIl19LCJ1c2VyX21ldGFkYXRhIjp7fSwicm9sZSI6ImF1dGhlbnRpY2F0ZWQiLCJhYWwiOiJhYWwxIiwiYW1yIjpbeyJtZXRob2QiOiJvdHAiLCJ0aW1lc3RhbXAiOjE2ODE2OTAwNzF9XSwic2Vzc2lvbl9pZCI6ImY4MTg1YTM5LTkxYzgtNGFmMy1iNzAxLTdhY2MwY2MwMGNlNSJ9.UvcTfpyIM1TdzM8ZV6UAPWfa0rgNq4AiqeD0INy6zV8%22%2C%22_Zp8uXIA2InTDKYgo8TCqA%22%2Cnull%2Cnull%2Cnull%5D'
|
||||
|
||||
idk = [
|
||||
"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOiJhdXRoZW50aWNhdGVkIiwiZXhwIjoxNjgyMjk0ODcxLCJzdWIiOiI4NWNkNTNiNC1lZTUwLTRiMDQtOGJhNS0wNTUyNjk4ODliZDIiLCJlbWFpbCI6ImNsc2J5emdqcGhiQGJ1Z2Zvby5jb20iLCJwaG9uZSI6IiIsImFwcF9tZXRhZGF0YSI6eyJwcm92aWRlciI6ImVtYWlsIiwicHJvdmlkZXJzIjpbImVtYWlsIl19LCJ1c2VyX21ldGFkYXRhIjp7fSwicm9sZSI6ImF1dGhlbnRpY2F0ZWQiLCJhYWwiOiJhYWwxIiwiYW1yIjpbeyJtZXRob2QiOiJvdHAiLCJ0aW1lc3RhbXAiOjE2ODE2OTAwNzF9XSwic2Vzc2lvbl9pZCI6ImY4MTg1YTM5LTkxYzgtNGFmMy1iNzAxLTdhY2MwY2MwMGNlNSJ9.UvcTfpyIM1TdzM8ZV6UAPWfa0rgNq4AiqeD0INy6zV8",
|
||||
"_Zp8uXIA2InTDKYgo8TCqA",None,None,None]
|
||||
"_Zp8uXIA2InTDKYgo8TCqA", None, None, None]
|
||||
|
|
|
|||
|
|
@ -1,5 +1,6 @@
|
|||
from time import time
|
||||
|
||||
from requests import post
|
||||
from time import time
|
||||
|
||||
headers = {
|
||||
'authority': 'www.t3nsor.tech',
|
||||
|
|
@ -19,18 +20,17 @@ headers = {
|
|||
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
|
||||
}
|
||||
|
||||
|
||||
class T3nsorResponse:
|
||||
|
||||
class Completion:
|
||||
|
||||
class Choices:
|
||||
def __init__(self, choice: dict) -> None:
|
||||
self.text = choice['text']
|
||||
self.content = self.text.encode()
|
||||
self.index = choice['index']
|
||||
self.logprobs = choice['logprobs']
|
||||
self.finish_reason = choice['finish_reason']
|
||||
|
||||
self.text = choice['text']
|
||||
self.content = self.text.encode()
|
||||
self.index = choice['index']
|
||||
self.logprobs = choice['logprobs']
|
||||
self.finish_reason = choice['finish_reason']
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return f'''<__main__.APIResponse.Completion.Choices(\n text = {self.text.encode()},\n index = {self.index},\n logprobs = {self.logprobs},\n finish_reason = {self.finish_reason})object at 0x1337>'''
|
||||
|
||||
|
|
@ -39,99 +39,98 @@ class T3nsorResponse:
|
|||
|
||||
class Usage:
|
||||
def __init__(self, usage_dict: dict) -> None:
|
||||
self.prompt_tokens = usage_dict['prompt_chars']
|
||||
self.completion_tokens = usage_dict['completion_chars']
|
||||
self.total_tokens = usage_dict['total_chars']
|
||||
self.prompt_tokens = usage_dict['prompt_chars']
|
||||
self.completion_tokens = usage_dict['completion_chars']
|
||||
self.total_tokens = usage_dict['total_chars']
|
||||
|
||||
def __repr__(self):
|
||||
return f'''<__main__.APIResponse.Usage(\n prompt_tokens = {self.prompt_tokens},\n completion_tokens = {self.completion_tokens},\n total_tokens = {self.total_tokens})object at 0x1337>'''
|
||||
|
||||
|
||||
def __init__(self, response_dict: dict) -> None:
|
||||
|
||||
self.response_dict = response_dict
|
||||
self.id = response_dict['id']
|
||||
self.object = response_dict['object']
|
||||
self.created = response_dict['created']
|
||||
self.model = response_dict['model']
|
||||
self.completion = self.Completion(response_dict['choices'])
|
||||
self.usage = self.Usage(response_dict['usage'])
|
||||
self.response_dict = response_dict
|
||||
self.id = response_dict['id']
|
||||
self.object = response_dict['object']
|
||||
self.created = response_dict['created']
|
||||
self.model = response_dict['model']
|
||||
self.completion = self.Completion(response_dict['choices'])
|
||||
self.usage = self.Usage(response_dict['usage'])
|
||||
|
||||
def json(self) -> dict:
|
||||
return self.response_dict
|
||||
|
||||
|
||||
class Completion:
|
||||
model = {
|
||||
'model': {
|
||||
'id' : 'gpt-3.5-turbo',
|
||||
'name' : 'Default (GPT-3.5)'
|
||||
'id': 'gpt-3.5-turbo',
|
||||
'name': 'Default (GPT-3.5)'
|
||||
}
|
||||
}
|
||||
|
||||
def create(
|
||||
prompt: str = 'hello world',
|
||||
messages: list = []) -> T3nsorResponse:
|
||||
|
||||
response = post('https://www.t3nsor.tech/api/chat', headers = headers, json = Completion.model | {
|
||||
'messages' : messages,
|
||||
'key' : '',
|
||||
'prompt' : prompt
|
||||
prompt: str = 'hello world',
|
||||
messages: list = []) -> T3nsorResponse:
|
||||
response = post('https://www.t3nsor.tech/api/chat', headers=headers, json=Completion.model | {
|
||||
'messages': messages,
|
||||
'key': '',
|
||||
'prompt': prompt
|
||||
})
|
||||
|
||||
return T3nsorResponse({
|
||||
'id' : f'cmpl-1337-{int(time())}',
|
||||
'object' : 'text_completion',
|
||||
'created': int(time()),
|
||||
'model' : Completion.model,
|
||||
'id': f'cmpl-1337-{int(time())}',
|
||||
'object': 'text_completion',
|
||||
'created': int(time()),
|
||||
'model': Completion.model,
|
||||
'choices': [{
|
||||
'text' : response.text,
|
||||
'index' : 0,
|
||||
'logprobs' : None,
|
||||
'finish_reason' : 'stop'
|
||||
}],
|
||||
'text': response.text,
|
||||
'index': 0,
|
||||
'logprobs': None,
|
||||
'finish_reason': 'stop'
|
||||
}],
|
||||
'usage': {
|
||||
'prompt_chars' : len(prompt),
|
||||
'completion_chars' : len(response.text),
|
||||
'total_chars' : len(prompt) + len(response.text)
|
||||
'prompt_chars': len(prompt),
|
||||
'completion_chars': len(response.text),
|
||||
'total_chars': len(prompt) + len(response.text)
|
||||
}
|
||||
})
|
||||
|
||||
|
||||
class StreamCompletion:
|
||||
model = {
|
||||
'model': {
|
||||
'id' : 'gpt-3.5-turbo',
|
||||
'name' : 'Default (GPT-3.5)'
|
||||
'id': 'gpt-3.5-turbo',
|
||||
'name': 'Default (GPT-3.5)'
|
||||
}
|
||||
}
|
||||
|
||||
def create(
|
||||
prompt: str = 'hello world',
|
||||
messages: list = []) -> T3nsorResponse:
|
||||
|
||||
prompt: str = 'hello world',
|
||||
messages: list = []) -> T3nsorResponse:
|
||||
print('t3nsor api is down, this may not work, refer to another module')
|
||||
|
||||
response = post('https://www.t3nsor.tech/api/chat', headers = headers, stream = True, json = Completion.model | {
|
||||
'messages' : messages,
|
||||
'key' : '',
|
||||
'prompt' : prompt
|
||||
response = post('https://www.t3nsor.tech/api/chat', headers=headers, stream=True, json=Completion.model | {
|
||||
'messages': messages,
|
||||
'key': '',
|
||||
'prompt': prompt
|
||||
})
|
||||
|
||||
for chunk in response.iter_content(chunk_size = 2046):
|
||||
|
||||
for chunk in response.iter_content(chunk_size=2046):
|
||||
yield T3nsorResponse({
|
||||
'id' : f'cmpl-1337-{int(time())}',
|
||||
'object' : 'text_completion',
|
||||
'created': int(time()),
|
||||
'model' : Completion.model,
|
||||
|
||||
'id': f'cmpl-1337-{int(time())}',
|
||||
'object': 'text_completion',
|
||||
'created': int(time()),
|
||||
'model': Completion.model,
|
||||
|
||||
'choices': [{
|
||||
'text' : chunk.decode(),
|
||||
'index' : 0,
|
||||
'logprobs' : None,
|
||||
'finish_reason' : 'stop'
|
||||
'text': chunk.decode(),
|
||||
'index': 0,
|
||||
'logprobs': None,
|
||||
'finish_reason': 'stop'
|
||||
}],
|
||||
|
||||
|
||||
'usage': {
|
||||
'prompt_chars' : len(prompt),
|
||||
'completion_chars' : len(chunk.decode()),
|
||||
'total_chars' : len(prompt) + len(chunk.decode())
|
||||
'prompt_chars': len(prompt),
|
||||
'completion_chars': len(chunk.decode()),
|
||||
'total_chars': len(prompt) + len(chunk.decode())
|
||||
}
|
||||
})
|
||||
|
|
|
|||
|
|
@ -1,12 +1,8 @@
|
|||
import gptbz
|
||||
import asyncio
|
||||
|
||||
|
||||
# asyncio.run(gptbz.test())
|
||||
|
||||
import requests
|
||||
|
||||
image = '/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAAoALQDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigDkZP+EhS4W0k1S+VntQPtEWmRsgkNwBu4ZsHYQNvTbls5BA6DS7uW6S6E0VwjQ3UsQM0Pl71DZUrydy4IAbvg8CsTx3DbHQLi4uVs9scWzdd+dsAaWI4PlfNjKjpzkDtmpoNSgbWYpLR7Ty5bq5trw/vd3nIowBxtzti53Y6fKT3z2djra56fNbv07HR1z13ZRX/jDyby0+02f9nfdmsEeHd5o/5anndwPkxjjPWuhrh9Mvra88RLqccmnOHtvLEqfaN+1r1lUcjbg4PbO4H+Cqk+hnRi9ZI29E0uC2N1eG3Am+13DITZRwuqlsYG0ZYEKCGJywwT2AtWTapcW1vcPPCiyrE5ils2SRQV+dW/ecMT/3zgj5utZtpdwL4e190e02W9xeb9vm7FOWY78/NnnJ28f3ahkgtptD8JRlbMos9s8QPnbcrEzDy/4sgDjzOMdeaSZbi23f8vmbfn6hBFuktmuWWPJWCNELNuxgbpcDj1Pbr2qJ9bMVyIZNK1JVLyr5qwB1AjUNu+Uk4bovGSRjAqCTwdoElv5B02MReT5G1HZfk8zzMcEfx81YlsJ7NJX0tolZzNK8dyZJA8jDIwd3yjcBkAHjOAM09SP3b/q36mkjiSNXAYBgCNykH8QeRWdfaw1ldSW66XqN0UgE++3iBRsvt2BiQN/8WPQZqharF9oN5osVml1NLbLqUbmUFY/L4CrgYYKy4yoGM5xjhlnc2OoeMrfULV7aQXGkExyYlErJ5oPQ/Jtye/zZ9qLgqaTba0NyzvPtizH7NcQeVM8OJ49u/acbl9VPY96s1geFjF/xOhF9m41Wfd9n8z73BO7f/Fzzt+X0q7c6mWvRY2DwSXcUsQuUff8Auo2ySflB+YqrYyQOmTyARPQmVP32kLqF1cbmsrJZkuni3rcfZ98UfzKvJJUE4JOM5wpODwDl3Meuf2rHbRatcBJXuj5iachjhUovlBmZudrNkEZ3HIOMGlhREhbS9He2a8MO6a4fzmGDMQ3zAk5yZ8DzMgj0yRuWdha2CzLawrEJpnnkx/G7HLMfc0bl3VNf5pff/kVLS8uxFHHJZ3s5Xyo2mZI4y2VBZyN44B6gDrwAcVZ069Go2EV2Le5t/MBPlXMZjkXnGGU9OlULSdbfTt8LWy5mt0JAkK4YRLjnnODx26Z71TXULEWn/CUWDwmxeDbM4WbkCXJbaB23SnlM5PUDNF7CcObZf12OlpCcDoTz2oVlcZVgRkjIPccGo7hgsSk7ceYg+bP94elUYpamda64915GdH1SESxiTM0KjZmTZtbDHB53Y/u89eK1qw4xD9l0mIC3wLdCg/eYwHh+73x0+9znb71uUkXUSWyCiiimZhRRRQBieL5Hj8LXjxySxuNmGivFtWHzr0lbhfx69O9MvHdZpbKKWYnUluNji+VGikVFULHnkdGbjO05JHPEviyF5/DF7HGkjuQpCx2i3THDA8RNw3Tv069qR0kk0i4uFilF3bSXTwE2a+YGzIAUQnnIPByN46kbjUPc6YNKC9X+SLtjeB9Mt5ZyqzbI1lQzK5R2C/KWGAT8w6dcjHUVzemSyxeCba9e5uWfzIgxl1aOTgXPebGw5BwR3ACdalna8+0R3Kx3nk6jc2MvkjTI2MH97zDnI+4uWOSny4z2Lqxmt/hytvHHIZhFHJsj0yJnyXDEfZ87M9cjPB56ik2y4xSsu7XcnjMsejeJszXBZZrgozaihZAYwQFfGIQM8Bvu9ehrTKuJtOg3y5gKs/8ApAy2Y5B846uMj8Tz/CaqzROH1C3EchW6uHGRZIVx9nHXs4yPvN1PydBV2Lc+u3eUkCJBDtZoAFJzJna/VjgjI/h/4EaaM5PS/wDXRF+iiirOcy7RZE8RanukmKPFA6q9yHVfvg7Y+qfd5J4Y9OhrJ8Nm4FxYJNNdORaXCsJtTS4yVnAyQoG5sfxfw/dPJrUslmGt6rcymQxM0MMStahMALk4cfM65c9cBSGA7mqmi2k9t/ZZuDJJKbSdpHNjHEdzyRvhtv3G5PyjIbBJOVqDpurP5d+zGWtzeLdahZQLNK895PiV7+N/IURKQQMEqNzKAm1tucnggG4Fkhs4INNuJL145oEuHa7BcIAuWOQRkrhiAFzkkEE8rNDJPczWtnG1rG7yfapvsqESsY1AIJPP3hztbPllTjHKvpv2CWKbTUSHdJCk8cVtH+8jUFOSNpGAynOTgJgL1BNRNxf9fmWNGa3fR7U2ty9zDswJZJxMzHvlwSCc5BwccVerBZ3tLf8Atqyguvsxt/n02OyUSsxk3FsHa24bnyM4ycgE9d1WDDIz1I5BHQ471SM6i1uY8cjjSIWLyFjLbDJu1J5Mefn6HryP4snH3hRdmTS5f7T82aS2WBY5Y5LpVjX94Pn+YYzhmydw4UDB4wio/wDY8K+XLuE1qcfY1B4MWfk6DHOT/Bg4+6K1zGkkHlSoroy7WVlGCCOQRSsU5JGUrPo96EZ5p7O7mmmlubm7XFqQoYIobB2fK3Aztwe3TQvX2QKQSMyxDiQJ1dR1P8u/TvWb5bWty2m3KTXlvqMs7Ky2ieVbqVBKSEcHJL4JB3ZwfeLfcQRnTpY7mT7PLZiOdbJSkillzgA44KMScLsBBAOBkuNxu0/6epcQv9s0+LfJzauxBuVJJDRckdXPJ+YcDJH8QrTrN2sNcsxsk2LZyjd9nXaCWj439VPH3RwcZ/hFaVNGc+gUUUUyAooooAxfFVxZxeG9RS7ltVQ25ytwzbCCQBkJ82MkD5eeah0G7tYLi/sZJrKO4fUbjy4oncM/SQ5D9Ww4J25Xniiis2/eO2FNOhf1/CxmamsEGp2+nzx2CwxajYyWKN9o3KdpX+Ebd2I2287ePm973i3UdMg0W+0y4mtUkNqJPKuBJ5ewuEBYx8gbiBxz+FFFS3ZM1p01OdNN/wBaFfVtU0qHxHplx9qsSkEl2853SvIjxwjdtCZXIX7wbt05q7YJdS6nc6vYxWEtpfi2KS+bKsjQhCSWBBG4bhtAAyCcmiinF3k0RWgqdKMl1VvxZfM2s+VkWFh5nl5x9tfG/djGfK6bec468Y/irN1CeUCeHXbrTItPc3O6GN5PNltxHx0I+YKXLYB42455ooqpaIwo2lO1rE1rZjUYrcCO2Giw/Zp7BYzKrkKu4bh8oAB2EA56HIz0u3uxL+1kbygQpQFt2fmki4GOOuOvfHbNFFPpcTu6nKFpsTU75V8oNJKXIXduOI4hk54zjHTjGO+a0KKKaM59PQxLqNNBMuoQpDFYJEfPQLISp8zcWAXIxh5CcLnOMnHQaFNKkkvtOFoli0k9xqP32Zn24LIFyM7kwRg98c5yUVL3No6xTfV2/IrxyW0vh21kQ2phaexKn97s5aErj+LPTbnj7u7+KujoopxZNZW+9/oQXdpBfWk1rcxiSGVGjdSSMhgQeRyOCRxWOtvbXU0Ol6mIHksJbea0IMoJYISGy3U5ST+JuB83uUUMVJuz121JnaL/AITOBSYPOGnyEA7/ADdvmJnH8G3IHX5s4xxmtmiihdRVFZR9AoooqjI//9k='
|
||||
|
||||
response = requests.get('https://ocr.holey.cc/ncku?base64_str=%s' % image) #.split('base64,')[1])
|
||||
print(response.content)
|
||||
response = requests.get('https://ocr.holey.cc/ncku?base64_str=%s' % image) # .split('base64,')[1])
|
||||
print(response.content)
|
||||
|
|
|
|||
|
|
@ -1,46 +1,49 @@
|
|||
from curl_cffi import requests
|
||||
from json import loads
|
||||
from re import findall
|
||||
from threading import Thread
|
||||
from queue import Queue, Empty
|
||||
from json import loads
|
||||
from queue import Queue, Empty
|
||||
from re import findall
|
||||
from threading import Thread
|
||||
|
||||
from curl_cffi import requests
|
||||
|
||||
|
||||
class Completion:
|
||||
# experimental
|
||||
part1 = '{"role":"assistant","id":"chatcmpl'
|
||||
part2 = '"},"index":0,"finish_reason":null}]}}'
|
||||
regex = rf'{part1}(.*){part2}'
|
||||
|
||||
timer = None
|
||||
message_queue = Queue()
|
||||
|
||||
timer = None
|
||||
message_queue = Queue()
|
||||
stream_completed = False
|
||||
|
||||
|
||||
def request():
|
||||
headers = {
|
||||
'authority' : 'chatbot.theb.ai',
|
||||
'authority': 'chatbot.theb.ai',
|
||||
'content-type': 'application/json',
|
||||
'origin' : 'https://chatbot.theb.ai',
|
||||
'user-agent' : 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
|
||||
'origin': 'https://chatbot.theb.ai',
|
||||
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
|
||||
}
|
||||
|
||||
requests.post('https://chatbot.theb.ai/api/chat-process', headers=headers, content_callback=Completion.handle_stream_response,
|
||||
json = {
|
||||
'prompt' : 'hello world',
|
||||
'options': {}
|
||||
}
|
||||
)
|
||||
requests.post('https://chatbot.theb.ai/api/chat-process', headers=headers,
|
||||
content_callback=Completion.handle_stream_response,
|
||||
json={
|
||||
'prompt': 'hello world',
|
||||
'options': {}
|
||||
}
|
||||
)
|
||||
|
||||
Completion.stream_completed = True
|
||||
|
||||
@staticmethod
|
||||
def create():
|
||||
Thread(target=Completion.request).start()
|
||||
|
||||
|
||||
while Completion.stream_completed != True or not Completion.message_queue.empty():
|
||||
try:
|
||||
message = Completion.message_queue.get(timeout=0.01)
|
||||
for message in findall(Completion.regex, message):
|
||||
yield loads(Completion.part1 + message + Completion.part2)
|
||||
|
||||
|
||||
except Empty:
|
||||
pass
|
||||
|
||||
|
|
@ -48,10 +51,12 @@ class Completion:
|
|||
def handle_stream_response(response):
|
||||
Completion.message_queue.put(response.decode())
|
||||
|
||||
|
||||
def start():
|
||||
for message in Completion.create():
|
||||
yield message['delta']
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
for message in start():
|
||||
print(message)
|
||||
|
|
|
|||
|
|
@ -1,6 +1,5 @@
|
|||
import requests
|
||||
|
||||
|
||||
token = requests.get('https://play.vercel.ai/openai.jpeg', headers={
|
||||
'authority': 'play.vercel.ai',
|
||||
'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
|
||||
|
|
@ -15,7 +14,7 @@ headers = {
|
|||
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'
|
||||
}
|
||||
|
||||
for chunk in requests.post('https://play.vercel.ai/api/generate', headers=headers, stream = True, json = {
|
||||
for chunk in requests.post('https://play.vercel.ai/api/generate', headers=headers, stream=True, json={
|
||||
'prompt': 'hi',
|
||||
'model': 'openai:gpt-3.5-turbo',
|
||||
'temperature': 0.7,
|
||||
|
|
@ -25,5 +24,4 @@ for chunk in requests.post('https://play.vercel.ai/api/generate', headers=header
|
|||
'frequencyPenalty': 1,
|
||||
'presencePenalty': 1,
|
||||
'stopSequences': []}).iter_lines():
|
||||
|
||||
print(chunk)
|
||||
print(chunk)
|
||||
|
|
|
|||
|
|
@ -1,29 +1,33 @@
|
|||
from requests import Session
|
||||
from names import get_first_name, get_last_name
|
||||
from random import choice
|
||||
from requests import post
|
||||
from time import time
|
||||
from colorama import Fore, init; init()
|
||||
from random import choice
|
||||
from time import time
|
||||
|
||||
from colorama import Fore, init;
|
||||
from names import get_first_name, get_last_name
|
||||
from requests import Session
|
||||
from requests import post
|
||||
|
||||
init()
|
||||
|
||||
|
||||
class logger:
|
||||
@staticmethod
|
||||
def info(string) -> print:
|
||||
import datetime
|
||||
now = datetime.datetime.now()
|
||||
return print(f"{Fore.CYAN}{now.strftime('%Y-%m-%d %H:%M:%S')} {Fore.BLUE}INFO {Fore.MAGENTA}__main__ -> {Fore.RESET}{string}")
|
||||
return print(
|
||||
f"{Fore.CYAN}{now.strftime('%Y-%m-%d %H:%M:%S')} {Fore.BLUE}INFO {Fore.MAGENTA}__main__ -> {Fore.RESET}{string}")
|
||||
|
||||
|
||||
class SonicResponse:
|
||||
|
||||
class Completion:
|
||||
|
||||
class Choices:
|
||||
def __init__(self, choice: dict) -> None:
|
||||
self.text = choice['text']
|
||||
self.content = self.text.encode()
|
||||
self.index = choice['index']
|
||||
self.logprobs = choice['logprobs']
|
||||
self.finish_reason = choice['finish_reason']
|
||||
|
||||
self.text = choice['text']
|
||||
self.content = self.text.encode()
|
||||
self.index = choice['index']
|
||||
self.logprobs = choice['logprobs']
|
||||
self.finish_reason = choice['finish_reason']
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return f'''<__main__.APIResponse.Completion.Choices(\n text = {self.text.encode()},\n index = {self.index},\n logprobs = {self.logprobs},\n finish_reason = {self.finish_reason})object at 0x1337>'''
|
||||
|
||||
|
|
@ -32,127 +36,128 @@ class SonicResponse:
|
|||
|
||||
class Usage:
|
||||
def __init__(self, usage_dict: dict) -> None:
|
||||
self.prompt_tokens = usage_dict['prompt_chars']
|
||||
self.completion_tokens = usage_dict['completion_chars']
|
||||
self.total_tokens = usage_dict['total_chars']
|
||||
self.prompt_tokens = usage_dict['prompt_chars']
|
||||
self.completion_tokens = usage_dict['completion_chars']
|
||||
self.total_tokens = usage_dict['total_chars']
|
||||
|
||||
def __repr__(self):
|
||||
return f'''<__main__.APIResponse.Usage(\n prompt_tokens = {self.prompt_tokens},\n completion_tokens = {self.completion_tokens},\n total_tokens = {self.total_tokens})object at 0x1337>'''
|
||||
|
||||
|
||||
def __init__(self, response_dict: dict) -> None:
|
||||
|
||||
self.response_dict = response_dict
|
||||
self.id = response_dict['id']
|
||||
self.object = response_dict['object']
|
||||
self.created = response_dict['created']
|
||||
self.model = response_dict['model']
|
||||
self.completion = self.Completion(response_dict['choices'])
|
||||
self.usage = self.Usage(response_dict['usage'])
|
||||
self.response_dict = response_dict
|
||||
self.id = response_dict['id']
|
||||
self.object = response_dict['object']
|
||||
self.created = response_dict['created']
|
||||
self.model = response_dict['model']
|
||||
self.completion = self.Completion(response_dict['choices'])
|
||||
self.usage = self.Usage(response_dict['usage'])
|
||||
|
||||
def json(self) -> dict:
|
||||
return self.response_dict
|
||||
|
||||
|
||||
|
||||
class Account:
|
||||
session = Session()
|
||||
session.headers = {
|
||||
"connection" : "keep-alive",
|
||||
"sec-ch-ua" : "\"Not_A Brand\";v=\"99\", \"Google Chrome\";v=\"109\", \"Chromium\";v=\"109\"",
|
||||
"accept" : "application/json, text/plain, */*",
|
||||
"content-type" : "application/json",
|
||||
"sec-ch-ua-mobile" : "?0",
|
||||
"user-agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36",
|
||||
"connection": "keep-alive",
|
||||
"sec-ch-ua": "\"Not_A Brand\";v=\"99\", \"Google Chrome\";v=\"109\", \"Chromium\";v=\"109\"",
|
||||
"accept": "application/json, text/plain, */*",
|
||||
"content-type": "application/json",
|
||||
"sec-ch-ua-mobile": "?0",
|
||||
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36",
|
||||
"sec-ch-ua-platform": "\"Windows\"",
|
||||
"sec-fetch-site" : "same-origin",
|
||||
"sec-fetch-mode" : "cors",
|
||||
"sec-fetch-dest" : "empty",
|
||||
"sec-fetch-site": "same-origin",
|
||||
"sec-fetch-mode": "cors",
|
||||
"sec-fetch-dest": "empty",
|
||||
# "accept-encoding" : "gzip, deflate, br",
|
||||
"accept-language" : "en-GB,en-US;q=0.9,en;q=0.8",
|
||||
"cookie" : ""
|
||||
"accept-language": "en-GB,en-US;q=0.9,en;q=0.8",
|
||||
"cookie": ""
|
||||
}
|
||||
|
||||
|
||||
@staticmethod
|
||||
def get_user():
|
||||
password = f'0opsYouGoTme@1234'
|
||||
f_name = get_first_name()
|
||||
l_name = get_last_name()
|
||||
hosts = ['gmail.com', 'protonmail.com', 'proton.me', 'outlook.com']
|
||||
|
||||
f_name = get_first_name()
|
||||
l_name = get_last_name()
|
||||
hosts = ['gmail.com', 'protonmail.com', 'proton.me', 'outlook.com']
|
||||
|
||||
return {
|
||||
"email" : f"{f_name.lower()}.{l_name.lower()}@{choice(hosts)}",
|
||||
"password" : password,
|
||||
"confirm_password" : password,
|
||||
"full_name" : f'{f_name} {l_name}'
|
||||
"email": f"{f_name.lower()}.{l_name.lower()}@{choice(hosts)}",
|
||||
"password": password,
|
||||
"confirm_password": password,
|
||||
"full_name": f'{f_name} {l_name}'
|
||||
}
|
||||
|
||||
@staticmethod
|
||||
def create(logging: bool = False):
|
||||
while True:
|
||||
try:
|
||||
user = Account.get_user()
|
||||
start = time()
|
||||
response = Account.session.post("https://app.writesonic.com/api/session-login", json = user | {
|
||||
"utmParams" : "{}",
|
||||
"visitorId" : "0",
|
||||
"locale" : "en",
|
||||
"userAgent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36",
|
||||
"signInWith" : "password",
|
||||
"request_type" : "signup",
|
||||
user = Account.get_user()
|
||||
start = time()
|
||||
response = Account.session.post("https://app.writesonic.com/api/session-login", json=user | {
|
||||
"utmParams": "{}",
|
||||
"visitorId": "0",
|
||||
"locale": "en",
|
||||
"userAgent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36",
|
||||
"signInWith": "password",
|
||||
"request_type": "signup",
|
||||
})
|
||||
|
||||
|
||||
if logging:
|
||||
logger.info(f"\x1b[31mregister success\x1b[0m : '{response.text[:30]}...' ({int(time() - start)}s)")
|
||||
logger.info(f"\x1b[31mid\x1b[0m : '{response.json()['id']}'")
|
||||
logger.info(f"\x1b[31mtoken\x1b[0m : '{response.json()['token'][:30]}...'")
|
||||
|
||||
|
||||
start = time()
|
||||
response = Account.session.post("https://api.writesonic.com/v1/business/set-business-active", headers={"authorization": "Bearer " + response.json()['token']})
|
||||
response = Account.session.post("https://api.writesonic.com/v1/business/set-business-active",
|
||||
headers={"authorization": "Bearer " + response.json()['token']})
|
||||
key = response.json()["business"]["api_key"]
|
||||
if logging: logger.info(f"\x1b[31mgot key\x1b[0m : '{key}' ({int(time() - start)}s)")
|
||||
|
||||
return Account.AccountResponse(user['email'], user['password'], key)
|
||||
|
||||
|
||||
except Exception as e:
|
||||
if logging: logger.info(f"\x1b[31merror\x1b[0m : '{e}'")
|
||||
continue
|
||||
|
||||
|
||||
class AccountResponse:
|
||||
def __init__(self, email, password, key):
|
||||
self.email = email
|
||||
self.email = email
|
||||
self.password = password
|
||||
self.key = key
|
||||
|
||||
self.key = key
|
||||
|
||||
|
||||
class Completion:
|
||||
def create(
|
||||
api_key: str,
|
||||
prompt: str,
|
||||
enable_memory: bool = False,
|
||||
enable_google_results: bool = False,
|
||||
history_data: list = []) -> SonicResponse:
|
||||
|
||||
response = post('https://api.writesonic.com/v2/business/content/chatsonic?engine=premium', headers = {"X-API-KEY": api_key},
|
||||
json = {
|
||||
"enable_memory" : enable_memory,
|
||||
"enable_google_results" : enable_google_results,
|
||||
"input_text" : prompt,
|
||||
"history_data" : history_data}).json()
|
||||
api_key: str,
|
||||
prompt: str,
|
||||
enable_memory: bool = False,
|
||||
enable_google_results: bool = False,
|
||||
history_data: list = []) -> SonicResponse:
|
||||
response = post('https://api.writesonic.com/v2/business/content/chatsonic?engine=premium',
|
||||
headers={"X-API-KEY": api_key},
|
||||
json={
|
||||
"enable_memory": enable_memory,
|
||||
"enable_google_results": enable_google_results,
|
||||
"input_text": prompt,
|
||||
"history_data": history_data}).json()
|
||||
|
||||
return SonicResponse({
|
||||
'id' : f'cmpl-premium-{int(time())}',
|
||||
'object' : 'text_completion',
|
||||
'created': int(time()),
|
||||
'model' : 'premium',
|
||||
|
||||
'choices': [{
|
||||
'text' : response['message'],
|
||||
'index' : 0,
|
||||
'logprobs' : None,
|
||||
'finish_reason' : 'stop'
|
||||
}],
|
||||
|
||||
'usage': {
|
||||
'prompt_chars' : len(prompt),
|
||||
'completion_chars' : len(response['message']),
|
||||
'total_chars' : len(prompt) + len(response['message'])
|
||||
}
|
||||
})
|
||||
'id': f'cmpl-premium-{int(time())}',
|
||||
'object': 'text_completion',
|
||||
'created': int(time()),
|
||||
'model': 'premium',
|
||||
|
||||
'choices': [{
|
||||
'text': response['message'],
|
||||
'index': 0,
|
||||
'logprobs': None,
|
||||
'finish_reason': 'stop'
|
||||
}],
|
||||
|
||||
'usage': {
|
||||
'prompt_chars': len(prompt),
|
||||
'completion_chars': len(response['message']),
|
||||
'total_chars': len(prompt) + len(response['message'])
|
||||
}
|
||||
})
|
||||
|
|
|
|||
|
|
@ -9,19 +9,19 @@ from tls_client import Session
|
|||
class Completion:
|
||||
@staticmethod
|
||||
def create(
|
||||
prompt: str,
|
||||
page: int = 1,
|
||||
count: int = 10,
|
||||
safe_search: str = 'Moderate',
|
||||
on_shopping_page: bool = False,
|
||||
mkt: str = '',
|
||||
response_filter: str = 'WebPages,Translations,TimeZone,Computation,RelatedSearches',
|
||||
domain: str = 'youchat',
|
||||
query_trace_id: str = None,
|
||||
chat: list = None,
|
||||
include_links: bool = False,
|
||||
detailed: bool = False,
|
||||
debug: bool = False,
|
||||
prompt: str,
|
||||
page: int = 1,
|
||||
count: int = 10,
|
||||
safe_search: str = 'Moderate',
|
||||
on_shopping_page: bool = False,
|
||||
mkt: str = '',
|
||||
response_filter: str = 'WebPages,Translations,TimeZone,Computation,RelatedSearches',
|
||||
domain: str = 'youchat',
|
||||
query_trace_id: str = None,
|
||||
chat: list = None,
|
||||
include_links: bool = False,
|
||||
detailed: bool = False,
|
||||
debug: bool = False,
|
||||
) -> dict:
|
||||
if chat is None:
|
||||
chat = []
|
||||
|
|
|
|||
Loading…
Reference in a new issue