made changes
This commit is contained in:
noptuno
commit
396d7e11b2
65 changed files with 592 additions and 560 deletions
|
|
@ -80,14 +80,14 @@ Please note the following:
|
|||
- [`/you`](./you/README.md)
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||||
|
||||
## Install <a name="install"></a>
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||||
download or clone this GitHub repo
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||||
Download or clone this GitHub repo
|
||||
install requirements with:
|
||||
```sh
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||||
pip3 install -r requirements.txt
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||||
```
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||||
|
||||
## To start gpt4free GUI <a name="streamlit-gpt4free-gui"></a>
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||||
move `streamlit_app.py` from `./gui` to the base folder
|
||||
Move `streamlit_app.py` from `./gui` to the base folder
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||||
then run:
|
||||
`streamlit run streamlit_app.py` or `python3 -m streamlit run streamlit_app.py`
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||||
|
||||
|
|
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|||
|
|
@ -1,47 +1,57 @@
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|||
import requests
|
||||
|
||||
|
||||
class Completion:
|
||||
def create(self, prompt="What is the square root of pi",
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system_prompt=("ASSUME I HAVE FULL ACCESS TO COCALC. ENCLOSE MATH IN $. "
|
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"INCLUDE THE LANGUAGE DIRECTLY AFTER THE TRIPLE BACKTICKS "
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||||
"IN ALL MARKDOWN CODE BLOCKS. How can I do the following using CoCalc?")) -> str:
|
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# Initialize a session with custom headers
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session = self._initialize_session()
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|
||||
# Set the data that will be submitted
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payload = self._create_payload(prompt, system_prompt)
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# Submit the request and return the results
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return self._submit_request(session, payload)
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def _initialize_session(self) -> requests.Session:
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"""Initialize a session with custom headers for the request."""
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session = requests.Session()
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headers = {
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||||
'Accept': '*/*',
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||||
'Accept-Language': 'en-US,en;q=0.5',
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'Origin': 'https://cocalc.com',
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'Referer': 'https://cocalc.com/api/v2/openai/chatgpt',
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'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',
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}
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session.headers.update(headers)
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return session
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def _create_payload(self, prompt: str, system_prompt: str) -> dict:
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"""Create the payload with the given prompts."""
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|
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return {
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"input": prompt,
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"system": system_prompt,
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"tag": "next:index"
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}
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def _submit_request(self, session: requests.Session, payload: dict) -> str:
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"""Submit the request to the API and return the response."""
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|
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response = session.post(
|
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"https://cocalc.com/api/v2/openai/chatgpt", json=payload).json()
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return response
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import requests
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|
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class Completion:
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@staticmethod
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def create(prompt:str, cookieInput:str) -> str:
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# Initialize a session with custom headers
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session = Completion._initialize_session(cookieInput)
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|
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# Set the data that will be submitted
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payload = Completion._create_payload(prompt, ("ASSUME I HAVE FULL ACCESS TO COCALC. "))
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|
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# Submit the request and return the results
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return Completion._submit_request(session, payload)
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|
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@classmethod
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def _initialize_session(cls, conversationCookie) -> requests.Session:
|
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"""Initialize a session with custom headers for the request."""
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|
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session = requests.Session()
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headers = {
|
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'Accept': '*/*',
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'Accept-Language': 'en-US,en;q=0.5',
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'Origin': 'https://cocalc.com',
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'Referer': 'https://cocalc.com/api/v2/openai/chatgpt',
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'Cookie': conversationCookie,
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'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',
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}
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session.headers.update(headers)
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return session
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@classmethod
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def _create_payload(
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cls,
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prompt: str,
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system_prompt: str
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) -> dict:
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|
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return {
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"input": prompt,
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"system": system_prompt,
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"tag": "next:index"
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}
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|
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@classmethod
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def _submit_request(
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cls,
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session: requests.Session,
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payload: dict
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) -> str:
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|
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response = session.post(
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"https://cocalc.com/api/v2/openai/chatgpt", json=payload).json()
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return {
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"response":response["output"],
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"success":response["success"]
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}
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20
cocalc/readme.md
Normal file
20
cocalc/readme.md
Normal file
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@ -0,0 +1,20 @@
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### Example: `cocalc` <a name="example-cocalc"></a>
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|
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```python
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# import library
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import cocalc
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cocalc.Completion.create(prompt="How are you!", cookieInput="cookieinput") ## Tutorial
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```
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### How to grab cookie input
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```js
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// input this into ur developer tools console and the exact response u get from this u put into ur cookieInput!
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var cookies = document.cookie.split("; ");
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var cookieString = "";
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for (var i = 0; i < cookies.length; i++) {
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cookieString += cookies[i] + "; ";
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}
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console.log(cookieString);
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```
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16
forefront/README.md
Normal file
16
forefront/README.md
Normal file
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@ -0,0 +1,16 @@
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### Example: `forefront` (use like openai pypi package) <a name="example-forefront"></a>
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|
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```python
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import forefront
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# create an account
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token = forefront.Account.create(logging=False)
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print(token)
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# get a response
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for response in forefront.StreamingCompletion.create(token = token,
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prompt = 'hello world', model='gpt-4'):
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print(response.completion.choices[0].text, end = '')
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print("")
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```
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154
forefront/__init__.py
Normal file
154
forefront/__init__.py
Normal file
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@ -0,0 +1,154 @@
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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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@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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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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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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}
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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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try:
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||||
trace_token = response.json()['response']['id']
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if logging: print(trace_token)
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||||
except KeyError:
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||||
return 'Failed to create account!'
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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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||||
}
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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:
|
||||
return 'Failed to create account!'
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|
||||
while True:
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sleep(1)
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for _ in mail.fetch_inbox():
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print(mail.get_message_content(_["id"]))
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mail_token = match(r"(\d){5,6}", mail.get_message_content(_["id"])).group(0)
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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(
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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={
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'code': mail_token,
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'strategy': 'email_code'
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||||
})
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|
||||
if logging: print(response.json())
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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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|
||||
if logging: print(time() - start)
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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='',
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||||
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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||||
|
||||
if not token: raise Exception('Token is required!')
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if not chatId: chatId = str(uuid4())
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|
||||
headers = {
|
||||
'authority': 'chat-server.tenant-forefront-default.knative.chi.coreweave.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',
|
||||
'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"',
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||||
'sec-ch-ua-mobile': '?0',
|
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'sec-ch-ua-platform': '"macOS"',
|
||||
'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
|
||||
'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',
|
||||
}
|
||||
|
||||
json_data = {
|
||||
'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():
|
||||
|
||||
if b'finish_reason":null' in chunk:
|
||||
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)
|
||||
}
|
||||
})
|
||||
|
|
@ -23,17 +23,21 @@ class Mail:
|
|||
"sec-fetch-dest": "empty",
|
||||
"referer": "https://mail.tm/",
|
||||
"accept-encoding": "gzip, deflate, br",
|
||||
"accept-language": "en-GB,en-US;q=0.9,en;q=0.8",
|
||||
"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", "password": token}
|
||||
)
|
||||
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={**init.json(), "password": token})
|
||||
resp = self.client.post("https://api.mail.tm/token", json={
|
||||
**init.json(),
|
||||
"password": token
|
||||
})
|
||||
|
||||
self.client.headers['authorization'] = 'Bearer ' + resp.json()['token']
|
||||
|
||||
36
forefront/typing.py
Normal file
36
forefront/typing.py
Normal file
|
|
@ -0,0 +1,36 @@
|
|||
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']
|
||||
|
||||
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>'''
|
||||
|
||||
def __init__(self, choices: dict) -> None:
|
||||
self.choices = [self.Choices(choice) for choice in choices]
|
||||
|
||||
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']
|
||||
|
||||
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'])
|
||||
|
||||
def json(self) -> dict:
|
||||
return self.response_dict
|
||||
|
|
@ -1,17 +1,24 @@
|
|||
import openai_rev
|
||||
from openai_rev import forefront, quora, theb, you
|
||||
import os
|
||||
import sys
|
||||
|
||||
sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
|
||||
|
||||
import forefront, quora, theb, you
|
||||
import random
|
||||
|
||||
|
||||
|
||||
def query_forefront(question: str) -> str:
|
||||
# create an account
|
||||
token = forefront.Account.create(logging=True)
|
||||
|
||||
token = forefront.Account.create(logging=False)
|
||||
|
||||
response = ""
|
||||
# get a response
|
||||
try:
|
||||
result = forefront.StreamingCompletion.create(token = token, prompt = 'hello world', model='gpt-4')
|
||||
for i in forefront.StreamingCompletion.create(token = token, prompt = 'hello world', model='gpt-4'):
|
||||
response += i.completion.choices[0].text
|
||||
|
||||
return result['response']
|
||||
return response
|
||||
|
||||
except Exception as e:
|
||||
# Return error message if an exception occurs
|
||||
|
|
@ -31,11 +38,11 @@ def query_quora(question: str) -> str:
|
|||
|
||||
def query_theb(question: str) -> str:
|
||||
# Set cloudflare clearance cookie and get answer from GPT-4 model
|
||||
response = ""
|
||||
try:
|
||||
result = theb.Completion.create(
|
||||
prompt = question)
|
||||
|
||||
return result['response']
|
||||
return result
|
||||
|
||||
except Exception as e:
|
||||
# Return error message if an exception occurs
|
||||
|
|
@ -47,16 +54,14 @@ def query_you(question: str) -> str:
|
|||
try:
|
||||
result = you.Completion.create(
|
||||
prompt = question)
|
||||
return result.text
|
||||
return result["response"]
|
||||
|
||||
except Exception as 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.'
|
||||
|
||||
|
||||
def query(user_input: str, selected_method: str = "Random") -> str:
|
||||
# Define a dictionary containing all query methods
|
||||
avail_query_methods = {
|
||||
# Define a dictionary containing all query methods
|
||||
avail_query_methods = {
|
||||
"Forefront": query_forefront,
|
||||
"Poe": query_quora,
|
||||
"Theb": query_theb,
|
||||
|
|
@ -67,6 +72,8 @@ def query(user_input: str, selected_method: str = "Random") -> str:
|
|||
# "Ora": query_ora,
|
||||
}
|
||||
|
||||
def query(user_input: str, selected_method: str = "Random") -> str:
|
||||
|
||||
# If a specific query method is selected (not "Random") and the method is in the dictionary, try to call it
|
||||
if selected_method != "Random" and selected_method in avail_query_methods:
|
||||
try:
|
||||
|
|
|
|||
|
|
@ -38,9 +38,10 @@ st.header('GPT4free GUI')
|
|||
question_text_area = st.text_area('🤖 Ask Any Question :', placeholder='Explain quantum computing in 50 words')
|
||||
if st.button('🧠 Think'):
|
||||
answer = get_answer(question_text_area)
|
||||
escaped = answer.encode('utf-8').decode('unicode-escape')
|
||||
# Display answer
|
||||
st.caption("Answer :")
|
||||
st.markdown(answer)
|
||||
st.markdown(escaped)
|
||||
|
||||
# Hide Streamlit footer
|
||||
hide_streamlit_style = """
|
||||
|
|
|
|||
|
|
@ -1,13 +1,13 @@
|
|||
import os
|
||||
import sys
|
||||
import atexit
|
||||
|
||||
sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
|
||||
|
||||
import streamlit as st
|
||||
from streamlit_chat import message
|
||||
from query_methods import query
|
||||
from query_methods import query, avail_query_methods
|
||||
import pickle
|
||||
import openai_rev
|
||||
|
||||
|
||||
conversations_file = "conversations.pkl"
|
||||
|
|
@ -18,6 +18,9 @@ def load_conversations():
|
|||
return pickle.load(f)
|
||||
except FileNotFoundError:
|
||||
return []
|
||||
except EOFError:
|
||||
return []
|
||||
|
||||
|
||||
def save_conversations(conversations, current_conversation):
|
||||
updated = False
|
||||
|
|
@ -28,8 +31,22 @@ def save_conversations(conversations, current_conversation):
|
|||
break
|
||||
if not updated:
|
||||
conversations.append(current_conversation)
|
||||
with open(conversations_file, "wb") as f:
|
||||
|
||||
temp_conversations_file = "temp_" + conversations_file
|
||||
with open(temp_conversations_file, "wb") as f:
|
||||
pickle.dump(conversations, f)
|
||||
|
||||
os.replace(temp_conversations_file, conversations_file)
|
||||
|
||||
|
||||
def exit_handler():
|
||||
print("Exiting, saving data...")
|
||||
# Perform cleanup operations here, like saving data or closing open files.
|
||||
save_conversations(st.session_state.conversations, st.session_state.current_conversation)
|
||||
|
||||
# Register the exit_handler function to be called when the program is closing.
|
||||
atexit.register(exit_handler)
|
||||
|
||||
|
||||
st.header("Chat Placeholder")
|
||||
|
||||
|
|
@ -74,7 +91,7 @@ if st.sidebar.button("New Conversation"):
|
|||
|
||||
st.session_state['query_method'] = st.sidebar.selectbox(
|
||||
"Select API:",
|
||||
options=openai_rev.Provider.__members__.keys(),
|
||||
options=avail_query_methods,
|
||||
index=0
|
||||
)
|
||||
|
||||
|
|
|
|||
|
|
@ -1 +0,0 @@
|
|||
from .openai_rev import Provider
|
||||
|
|
@ -1,15 +0,0 @@
|
|||
### Example: `forefront` (use like openai pypi package) <a name="example-forefront"></a>
|
||||
|
||||
```python
|
||||
|
||||
from openai_rev import forefront
|
||||
|
||||
# create an account
|
||||
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='')
|
||||
```
|
||||
|
|
@ -1,189 +0,0 @@
|
|||
from json import loads
|
||||
from re import match
|
||||
from time import time, sleep
|
||||
from typing import Generator, Optional
|
||||
from uuid import uuid4
|
||||
|
||||
from fake_useragent import UserAgent
|
||||
from requests import post
|
||||
from tls_client import Session
|
||||
|
||||
from .mail import Mail
|
||||
from .models import ForeFrontResponse
|
||||
|
||||
|
||||
class Account:
|
||||
@staticmethod
|
||||
def create(proxy: Optional[str] = None, logging: bool = False):
|
||||
proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else False
|
||||
|
||||
start = time()
|
||||
|
||||
mail_client = Mail(proxies)
|
||||
mail_token = None
|
||||
mail_address = mail_client.get_mail()
|
||||
|
||||
# print(mail_address)
|
||||
|
||||
client = Session(client_identifier='chrome110')
|
||||
client.proxies = proxies
|
||||
client.headers = {
|
||||
'origin': 'https://accounts.forefront.ai',
|
||||
'user-agent': UserAgent().random,
|
||||
}
|
||||
|
||||
response = client.post(
|
||||
'https://clerk.forefront.ai/v1/client/sign_ups?_clerk_js_version=4.32.6',
|
||||
data={'email_address': mail_address},
|
||||
)
|
||||
|
||||
trace_token = response.json()['response']['id']
|
||||
if logging:
|
||||
print(trace_token)
|
||||
|
||||
response = client.post(
|
||||
f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/prepare_verification?_clerk_js_version=4.32.6',
|
||||
data={
|
||||
'strategy': 'email_code',
|
||||
},
|
||||
)
|
||||
|
||||
if logging:
|
||||
print(response.text)
|
||||
|
||||
if 'sign_up_attempt' not in response.text:
|
||||
return 'Failed to create account!'
|
||||
|
||||
while True:
|
||||
sleep(1)
|
||||
for _ in mail_client.fetch_inbox():
|
||||
if logging:
|
||||
print(mail_client.get_message_content(_['id']))
|
||||
mail_token = match(r'(\d){5,6}', mail_client.get_message_content(_['id'])).group(0)
|
||||
|
||||
if mail_token:
|
||||
break
|
||||
|
||||
if logging:
|
||||
print(mail_token)
|
||||
|
||||
response = client.post(
|
||||
f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/attempt_verification?_clerk_js_version=4.38.4',
|
||||
data={'code': mail_token, 'strategy': 'email_code'},
|
||||
)
|
||||
|
||||
if logging:
|
||||
print(response.json())
|
||||
|
||||
token = response.json()['client']['sessions'][0]['last_active_token']['jwt']
|
||||
|
||||
with open('accounts.txt', 'a') as f:
|
||||
f.write(f'{mail_address}:{token}\n')
|
||||
|
||||
if logging:
|
||||
print(time() - start)
|
||||
|
||||
return token
|
||||
|
||||
|
||||
class StreamingCompletion:
|
||||
@staticmethod
|
||||
def create(
|
||||
token=None,
|
||||
chat_id=None,
|
||||
prompt='',
|
||||
action_type='new',
|
||||
default_persona='607e41fe-95be-497e-8e97-010a59b2e2c0', # default
|
||||
model='gpt-4',
|
||||
) -> Generator[ForeFrontResponse, None, None]:
|
||||
if not token:
|
||||
raise Exception('Token is required!')
|
||||
if not chat_id:
|
||||
chat_id = str(uuid4())
|
||||
|
||||
headers = {
|
||||
'authority': 'chat-server.tenant-forefront-default.knative.chi.coreweave.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',
|
||||
'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',
|
||||
'sec-fetch-site': 'cross-site',
|
||||
'user-agent': UserAgent().random,
|
||||
}
|
||||
|
||||
json_data = {
|
||||
'text': prompt,
|
||||
'action': action_type,
|
||||
'parentId': chat_id,
|
||||
'workspaceId': chat_id,
|
||||
'messagePersona': default_persona,
|
||||
'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():
|
||||
if b'finish_reason":null' in chunk:
|
||||
data = loads(chunk.decode('utf-8').split('data: ')[1])
|
||||
token = data['choices'][0]['delta'].get('content')
|
||||
|
||||
if token is not None:
|
||||
yield ForeFrontResponse(
|
||||
**{
|
||||
'id': chat_id,
|
||||
'object': 'text_completion',
|
||||
'created': int(time()),
|
||||
'text': token,
|
||||
'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),
|
||||
},
|
||||
}
|
||||
)
|
||||
|
||||
|
||||
class Completion:
|
||||
@staticmethod
|
||||
def create(
|
||||
token=None,
|
||||
chat_id=None,
|
||||
prompt='',
|
||||
action_type='new',
|
||||
default_persona='607e41fe-95be-497e-8e97-010a59b2e2c0', # default
|
||||
model='gpt-4',
|
||||
) -> ForeFrontResponse:
|
||||
text = ''
|
||||
final_response = None
|
||||
for response in StreamingCompletion.create(
|
||||
token=token,
|
||||
chat_id=chat_id,
|
||||
prompt=prompt,
|
||||
action_type=action_type,
|
||||
default_persona=default_persona,
|
||||
model=model,
|
||||
):
|
||||
if response:
|
||||
final_response = response
|
||||
text += response.text
|
||||
|
||||
if final_response:
|
||||
final_response.text = text
|
||||
else:
|
||||
raise Exception('Unable to get the response, Please try again')
|
||||
|
||||
return final_response
|
||||
|
|
@ -1,26 +0,0 @@
|
|||
from typing import Any, List
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
|
||||
class Choice(BaseModel):
|
||||
text: str
|
||||
index: int
|
||||
logprobs: Any
|
||||
finish_reason: str
|
||||
|
||||
|
||||
class Usage(BaseModel):
|
||||
prompt_tokens: int
|
||||
completion_tokens: int
|
||||
total_tokens: int
|
||||
|
||||
|
||||
class ForeFrontResponse(BaseModel):
|
||||
id: str
|
||||
object: str
|
||||
created: int
|
||||
model: str
|
||||
choices: List[Choice]
|
||||
usage: Usage
|
||||
text: str
|
||||
|
|
@ -1,42 +0,0 @@
|
|||
from enum import Enum
|
||||
|
||||
from openai_rev import forefront
|
||||
from openai_rev import quora
|
||||
from openai_rev import theb
|
||||
from openai_rev import you
|
||||
|
||||
|
||||
class Provider(Enum):
|
||||
You = 'you'
|
||||
Poe = 'poe'
|
||||
ForeFront = 'fore_front'
|
||||
Theb = 'theb'
|
||||
|
||||
|
||||
class Completion:
|
||||
@staticmethod
|
||||
def create(provider: Provider, prompt: str, **kwargs):
|
||||
if provider == Provider.Poe:
|
||||
return Completion.__poe_service(prompt, **kwargs)
|
||||
elif provider == Provider.You:
|
||||
return Completion.__you_service(prompt, **kwargs)
|
||||
elif provider == Provider.ForeFront:
|
||||
return Completion.__fore_front_service(prompt, **kwargs)
|
||||
elif provider == Provider.Theb:
|
||||
return Completion.__theb_service(prompt, **kwargs)
|
||||
|
||||
@classmethod
|
||||
def __you_service(cls, prompt: str, **kwargs) -> str:
|
||||
return you.Completion.create(prompt, **kwargs).text
|
||||
|
||||
@classmethod
|
||||
def __poe_service(cls, prompt: str, **kwargs) -> str:
|
||||
return quora.Completion.create(prompt=prompt, **kwargs).text
|
||||
|
||||
@classmethod
|
||||
def __fore_front_service(cls, prompt: str, **kwargs) -> str:
|
||||
return forefront.Completion.create(prompt=prompt, **kwargs).text
|
||||
|
||||
@classmethod
|
||||
def __theb_service(cls, prompt: str, **kwargs):
|
||||
return ''.join(theb.Completion.create(prompt=prompt))
|
||||
60
openaihosted/__init__.py
Normal file
60
openaihosted/__init__.py
Normal file
|
|
@ -0,0 +1,60 @@
|
|||
import json
|
||||
import re
|
||||
from fake_useragent import UserAgent
|
||||
|
||||
import requests
|
||||
|
||||
class Completion:
|
||||
@staticmethod
|
||||
def create(
|
||||
systemprompt:str,
|
||||
text:str,
|
||||
assistantprompt:str
|
||||
):
|
||||
|
||||
data = [
|
||||
{"role": "system", "content": systemprompt},
|
||||
{"role": "user", "content": "hi"},
|
||||
{"role": "assistant", "content": assistantprompt},
|
||||
{"role": "user", "content": text},
|
||||
]
|
||||
url = f'https://openai.a2hosted.com/chat?q={Completion.__get_query_param(data)}'
|
||||
|
||||
try:
|
||||
response = requests.get(url, headers=Completion.__get_headers(), stream=True)
|
||||
except:
|
||||
return Completion.__get_failure_response()
|
||||
|
||||
sentence = ""
|
||||
|
||||
for message in response.iter_content(chunk_size=1024):
|
||||
message = message.decode('utf-8')
|
||||
msg_match, num_match = re.search(r'"msg":"([^"]+)"', message), re.search(r'\[DONE\] (\d+)', message)
|
||||
if msg_match:
|
||||
# Put the captured group into a sentence
|
||||
sentence += msg_match.group(1)
|
||||
return {
|
||||
'response': sentence
|
||||
}
|
||||
|
||||
@classmethod
|
||||
def __get_headers(cls) -> dict:
|
||||
return {
|
||||
'authority': 'openai.a2hosted.com',
|
||||
'accept': 'text/event-stream',
|
||||
'accept-language': 'en-US,en;q=0.9,id;q=0.8,ja;q=0.7',
|
||||
'cache-control': 'no-cache',
|
||||
'sec-fetch-dest': 'empty',
|
||||
'sec-fetch-mode': 'cors',
|
||||
'sec-fetch-site': 'cross-site',
|
||||
'user-agent': UserAgent().random
|
||||
}
|
||||
|
||||
@classmethod
|
||||
def __get_failure_response(cls) -> dict:
|
||||
return dict(response='Unable to fetch the response, Please try again.', links=[], extra={})
|
||||
|
||||
@classmethod
|
||||
def __get_query_param(cls, conversation) -> str:
|
||||
encoded_conversation = json.dumps(conversation)
|
||||
return encoded_conversation.replace(" ", "%20").replace('"', '%22').replace("'", "%27")
|
||||
10
openaihosted/readme.md
Normal file
10
openaihosted/readme.md
Normal file
|
|
@ -0,0 +1,10 @@
|
|||
### Example: `openaihosted`) <a name="example-openaihosted"></a>
|
||||
|
||||
|
||||
```python
|
||||
# import library
|
||||
import openaihosted
|
||||
|
||||
res = openaihosted.Completion.create(systemprompt="U are ChatGPT", text="What is 4+4", assistantprompt="U are a helpful assistant.")['response']
|
||||
print(res) ## Responds with the answer
|
||||
```
|
||||
|
|
@ -1,4 +1,5 @@
|
|||
#### warning !!!
|
||||
|
||||
> ⚠ Warning !!!
|
||||
poe.com added security and can detect if you are making automated requests. You may get your account banned if you are using this api.
|
||||
The normal non-driver api is also currently not very stable
|
||||
|
||||
|
|
@ -16,44 +17,44 @@ models = {
|
|||
}
|
||||
```
|
||||
|
||||
#### !! new: bot creation
|
||||
### New: bot creation
|
||||
|
||||
```python
|
||||
# import quora (poe) package
|
||||
from openai_rev import quora
|
||||
import quora
|
||||
|
||||
# create account
|
||||
# make sure to set enable_bot_creation to True
|
||||
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) # gptx....
|
||||
print(model.name) # gptx....
|
||||
|
||||
# streaming response
|
||||
for response in quora.StreamingCompletion.create(
|
||||
custom_model=model.name,
|
||||
prompt='hello world',
|
||||
token=token):
|
||||
print(response.text)
|
||||
custom_model = model.name,
|
||||
prompt ='hello world',
|
||||
token = token):
|
||||
|
||||
print(response.completion.choices[0].text)
|
||||
```
|
||||
|
||||
#### Normal Response:
|
||||
### Normal Response:
|
||||
```python
|
||||
import quora
|
||||
|
||||
response = quora.Completion.create(model = 'gpt-4',
|
||||
prompt = 'hello world',
|
||||
token = 'token')
|
||||
token = token)
|
||||
|
||||
print(response.text)
|
||||
print(response.completion.choices[0].text)
|
||||
```
|
||||
|
||||
#### Update Use This For Poe
|
||||
### Update Use This For Poe
|
||||
```python
|
||||
from quora import Poe
|
||||
|
||||
|
|
@ -6,12 +6,11 @@ from pathlib import Path
|
|||
from random import choice, choices, randint
|
||||
from re import search, findall
|
||||
from string import ascii_letters, digits
|
||||
from typing import Optional, Union, List, Any, Generator
|
||||
from typing import Optional, Union
|
||||
from urllib.parse import unquote
|
||||
|
||||
import selenium.webdriver.support.expected_conditions as EC
|
||||
from fake_useragent import UserAgent
|
||||
from pydantic import BaseModel
|
||||
from pypasser import reCaptchaV3
|
||||
from requests import Session
|
||||
from selenium.webdriver import Firefox, Chrome, FirefoxOptions, ChromeOptions
|
||||
|
|
@ -19,8 +18,8 @@ from selenium.webdriver.common.by import By
|
|||
from selenium.webdriver.support.wait import WebDriverWait
|
||||
from tls_client import Session as TLS
|
||||
|
||||
from .api import Client as PoeClient
|
||||
from .mail import Emailnator
|
||||
from quora.api import Client as PoeClient
|
||||
from quora.mail import Emailnator
|
||||
|
||||
SELENIUM_WEB_DRIVER_ERROR_MSG = b'''The error message you are receiving is due to the `geckodriver` executable not
|
||||
being found in your system\'s PATH. To resolve this issue, you need to download the geckodriver and add its location
|
||||
|
|
@ -68,27 +67,42 @@ def extract_formkey(html):
|
|||
return formkey
|
||||
|
||||
|
||||
class Choice(BaseModel):
|
||||
text: str
|
||||
index: int
|
||||
logprobs: Any
|
||||
finish_reason: str
|
||||
class PoeResponse:
|
||||
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']
|
||||
|
||||
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>'''
|
||||
|
||||
class Usage(BaseModel):
|
||||
prompt_tokens: int
|
||||
completion_tokens: int
|
||||
total_tokens: int
|
||||
def __init__(self, choices: dict) -> None:
|
||||
self.choices = [self.Choices(choice) for choice in choices]
|
||||
|
||||
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']
|
||||
|
||||
class PoeResponse(BaseModel):
|
||||
id: int
|
||||
object: str
|
||||
created: int
|
||||
model: str
|
||||
choices: List[Choice]
|
||||
usage: Usage
|
||||
text: str
|
||||
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'])
|
||||
|
||||
def json(self) -> dict:
|
||||
return self.response_dict
|
||||
|
||||
|
||||
class ModelResponse:
|
||||
|
|
@ -102,12 +116,17 @@ 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',
|
||||
'claude-instant-v1.0': 'a2',
|
||||
'gpt-4': 'beaver',
|
||||
}
|
||||
|
||||
if not handle:
|
||||
handle = f'gptx{randint(1111111, 9999999)}'
|
||||
|
|
@ -143,7 +162,7 @@ class Model:
|
|||
obj={
|
||||
'queryName': 'CreateBotMain_poeBotCreate_Mutation',
|
||||
'variables': {
|
||||
'model': MODELS[model],
|
||||
'model': models[model],
|
||||
'handle': handle,
|
||||
'prompt': system_prompt,
|
||||
'isPromptPublic': True,
|
||||
|
|
@ -183,9 +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
|
||||
|
|
@ -290,23 +309,22 @@ class Account:
|
|||
class StreamingCompletion:
|
||||
@staticmethod
|
||||
def create(
|
||||
model: str = 'gpt-4',
|
||||
custom_model: bool = None,
|
||||
prompt: str = 'hello world',
|
||||
token: str = '',
|
||||
) -> Generator[PoeResponse, None, None]:
|
||||
model: str = 'gpt-4',
|
||||
custom_model: bool = None,
|
||||
prompt: str = 'hello world',
|
||||
token: str = '',
|
||||
):
|
||||
_model = MODELS[model] if not custom_model else custom_model
|
||||
|
||||
client = PoeClient(token)
|
||||
|
||||
for chunk in client.send_message(_model, prompt):
|
||||
yield PoeResponse(
|
||||
**{
|
||||
{
|
||||
'id': chunk['messageId'],
|
||||
'object': 'text_completion',
|
||||
'created': chunk['creationTime'],
|
||||
'model': _model,
|
||||
'text': chunk['text_new'],
|
||||
'choices': [
|
||||
{
|
||||
'text': chunk['text_new'],
|
||||
|
|
@ -325,28 +343,33 @@ class StreamingCompletion:
|
|||
|
||||
|
||||
class Completion:
|
||||
@staticmethod
|
||||
def create(
|
||||
model: str = 'gpt-4',
|
||||
custom_model: str = None,
|
||||
prompt: str = 'hello world',
|
||||
token: str = '',
|
||||
) -> PoeResponse:
|
||||
_model = MODELS[model] if not custom_model else custom_model
|
||||
model: str = 'gpt-4',
|
||||
custom_model: str = None,
|
||||
prompt: str = 'hello world',
|
||||
token: str = '',
|
||||
):
|
||||
models = {
|
||||
'sage': 'capybara',
|
||||
'gpt-4': 'beaver',
|
||||
'claude-v1.2': 'a2_2',
|
||||
'claude-instant-v1.0': 'a2',
|
||||
'gpt-3.5-turbo': 'chinchilla',
|
||||
}
|
||||
|
||||
_model = models[model] if not custom_model else custom_model
|
||||
|
||||
client = PoeClient(token)
|
||||
|
||||
chunk = None
|
||||
for response in client.send_message(_model, prompt):
|
||||
chunk = response
|
||||
for chunk in client.send_message(_model, prompt):
|
||||
pass
|
||||
|
||||
return PoeResponse(
|
||||
**{
|
||||
{
|
||||
'id': chunk['messageId'],
|
||||
'object': 'text_completion',
|
||||
'created': chunk['creationTime'],
|
||||
'model': _model,
|
||||
'text': chunk['text'],
|
||||
'choices': [
|
||||
{
|
||||
'text': chunk['text'],
|
||||
|
|
@ -366,12 +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:
|
||||
|
|
@ -450,12 +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.')
|
||||
|
|
@ -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",
|
||||
|
|
@ -42,7 +42,9 @@ class Emailnator:
|
|||
|
||||
while True:
|
||||
sleep(2)
|
||||
mail_token = self.client.post("https://www.emailnator.com/message-list", json={"email": self.email})
|
||||
mail_token = self.client.post(
|
||||
"https://www.emailnator.com/message-list", json={"email": self.email}
|
||||
)
|
||||
|
||||
mail_token = loads(mail_token.text)["messageData"]
|
||||
|
||||
|
|
@ -1,4 +1,5 @@
|
|||
from openai_rev import theb
|
||||
import theb
|
||||
|
||||
for token in theb.Completion.create('hello world'):
|
||||
print(token, end='', flush=True)
|
||||
print('asdsos')
|
||||
|
|
@ -1,10 +1,12 @@
|
|||
### Example: `theb` (use like openai pypi package) <a name="example-theb"></a>
|
||||
|
||||
|
||||
```python
|
||||
# import library
|
||||
from openai_rev import theb
|
||||
import theb
|
||||
|
||||
# simple streaming completion
|
||||
for token in theb.Completion.create('hello world'):
|
||||
print(token, end='', flush=True)
|
||||
```
|
||||
print("")
|
||||
```
|
||||
|
|
@ -1,11 +1,9 @@
|
|||
from re import findall
|
||||
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'
|
||||
|
|
@ -16,8 +14,7 @@ class Completion:
|
|||
message_queue = Queue()
|
||||
stream_completed = False
|
||||
|
||||
@classmethod
|
||||
def request(cls, prompt: str):
|
||||
def request(prompt: str):
|
||||
headers = {
|
||||
'authority': 'chatbot.theb.ai',
|
||||
'content-type': 'application/json',
|
||||
|
|
@ -25,11 +22,12 @@ class Completion:
|
|||
'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': prompt, 'options': {}},
|
||||
requests.post('https://chatbot.theb.ai/api/chat-process', headers=headers,
|
||||
content_callback = Completion.handle_stream_response,
|
||||
json = {
|
||||
'prompt': prompt,
|
||||
'options': {}
|
||||
}
|
||||
)
|
||||
|
||||
Completion.stream_completed = True
|
||||
|
|
@ -38,7 +36,7 @@ class Completion:
|
|||
def create(prompt: str):
|
||||
Thread(target=Completion.request, args=[prompt]).start()
|
||||
|
||||
while not Completion.stream_completed or not Completion.message_queue.empty():
|
||||
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):
|
||||
4
theb/theb_test.py
Normal file
4
theb/theb_test.py
Normal file
|
|
@ -0,0 +1,4 @@
|
|||
import theb
|
||||
|
||||
for token in theb.Completion.create('hello world'):
|
||||
print(token, end='', flush=True)
|
||||
|
|
@ -1,7 +0,0 @@
|
|||
import cocalc
|
||||
|
||||
response = cocalc.Completion.create(
|
||||
prompt='hello world'
|
||||
)
|
||||
|
||||
print(response)
|
||||
|
|
@ -1,3 +0,0 @@
|
|||
writegpt.ai
|
||||
to do:
|
||||
- code ref
|
||||
|
|
@ -1,41 +0,0 @@
|
|||
import json
|
||||
import re
|
||||
|
||||
import requests
|
||||
|
||||
headers = {
|
||||
'authority': 'openai.a2hosted.com',
|
||||
'accept': 'text/event-stream',
|
||||
'accept-language': 'en-US,en;q=0.9,id;q=0.8,ja;q=0.7',
|
||||
'cache-control': 'no-cache',
|
||||
'sec-fetch-dest': 'empty',
|
||||
'sec-fetch-mode': 'cors',
|
||||
'sec-fetch-site': 'cross-site',
|
||||
'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 = [
|
||||
{"role": "system", "content": "You are a helpful assistant."},
|
||||
{"role": "user", "content": "hi"},
|
||||
{"role": "assistant", "content": "Hello! How can I assist you today?"},
|
||||
{"role": "user", "content": user_input},
|
||||
]
|
||||
|
||||
query_param = create_query_param(data)
|
||||
url = f'https://openai.a2hosted.com/chat?q={query_param}'
|
||||
|
||||
response = requests.get(url, headers=headers, stream=True)
|
||||
|
||||
for message in response.iter_content(chunk_size=1024):
|
||||
message = message.decode('utf-8')
|
||||
msg_match, num_match = re.search(r'"msg":"(.*?)"', message), re.search(r'\[DONE\] (\d+)', message)
|
||||
if msg_match: print(msg_match.group(1))
|
||||
if num_match: print(num_match.group(1))
|
||||
|
|
@ -1,8 +1,7 @@
|
|||
### Example: `you` (use like openai pypi package) <a name="example-you"></a>
|
||||
|
||||
```python
|
||||
|
||||
from openai_rev import you
|
||||
import you
|
||||
|
||||
# simple request with links and details
|
||||
response = you.Completion.create(
|
||||
|
|
@ -26,7 +25,8 @@ chat = []
|
|||
|
||||
while True:
|
||||
prompt = input("You: ")
|
||||
|
||||
if prompt == 'q':
|
||||
break
|
||||
response = you.Completion.create(
|
||||
prompt=prompt,
|
||||
chat=chat)
|
||||
|
|
@ -34,4 +34,4 @@ while True:
|
|||
print("Bot:", response["response"])
|
||||
|
||||
chat.append({"question": prompt, "answer": response["response"]})
|
||||
```
|
||||
```
|
||||
|
|
@ -1,36 +1,28 @@
|
|||
import json
|
||||
import re
|
||||
from typing import Optional, List, Dict, Any
|
||||
from json import loads
|
||||
from uuid import uuid4
|
||||
|
||||
from fake_useragent import UserAgent
|
||||
from pydantic import BaseModel
|
||||
from tls_client import Session
|
||||
|
||||
|
||||
class PoeResponse(BaseModel):
|
||||
text: Optional[str] = None
|
||||
links: List[str] = []
|
||||
extra: Dict[str, Any] = {}
|
||||
|
||||
|
||||
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,
|
||||
) -> PoeResponse:
|
||||
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 = []
|
||||
|
||||
|
|
@ -65,25 +57,23 @@ class Completion:
|
|||
r'(?<=event: youChatSerpResults\ndata:)(.*\n)*?(?=event: )', response.text
|
||||
).group()
|
||||
third_party_search_results = re.search(
|
||||
r'(?<=event: thirdPartySearchResults\ndata:)(.*\n)*?(?=event: )', response.text
|
||||
).group()
|
||||
r'(?<=event: thirdPartySearchResults\ndata:)(.*\n)*?(?=event: )', response.text).group()
|
||||
# slots = findall(r"slots\ndata: (.*)\n\nevent", response.text)[0]
|
||||
|
||||
text = ''.join(re.findall(r'{\"youChatToken\": \"(.*?)\"}', response.text))
|
||||
|
||||
extra = {
|
||||
'youChatSerpResults': json.loads(you_chat_serp_results),
|
||||
'youChatSerpResults': loads(you_chat_serp_results),
|
||||
# 'slots' : loads(slots)
|
||||
}
|
||||
|
||||
response = PoeResponse(text=text.replace('\\n', '\n').replace('\\\\', '\\').replace('\\"', '"'))
|
||||
if include_links:
|
||||
response.links = json.loads(third_party_search_results)['search']['third_party_search_results']
|
||||
|
||||
if detailed:
|
||||
response.extra = extra
|
||||
|
||||
return response
|
||||
return {
|
||||
'response': text.replace('\\n', '\n').replace('\\\\', '\\').replace('\\"', '"'),
|
||||
'links': loads(third_party_search_results)['search']['third_party_search_results']
|
||||
if include_links
|
||||
else None,
|
||||
'extra': extra if detailed else None,
|
||||
}
|
||||
|
||||
@classmethod
|
||||
def __get_headers(cls) -> dict:
|
||||
|
|
@ -104,5 +94,5 @@ class Completion:
|
|||
}
|
||||
|
||||
@classmethod
|
||||
def __get_failure_response(cls) -> PoeResponse:
|
||||
return PoeResponse(text='Unable to fetch the response, Please try again.')
|
||||
def __get_failure_response(cls) -> dict:
|
||||
return dict(response='Unable to fetch the response, Please try again.', links=[], extra={})
|
||||
Loading…
Reference in a new issue