added gpt4free package
This commit is contained in:
Raju Komati
parent
94b30306f0
commit
54b4c789a7
10
README.md
10
README.md
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@ -92,9 +92,9 @@ Please note the following:
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| **Star History** | Star History | [](#star-history) | - |
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| **Usage Examples** | | | |
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| `theb` | Example usage for theb (gpt-3.5) | [](openai_rev/theb/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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| `you` | Example usage for you | [](./you/README.md) |  |
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| `forefront` | Example usage for forefront (gpt-4) | [](gpt4free/forefront/README.md) |  | ||
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| `quora (poe)` | Example usage for quora | [](gpt4free/quora/README.md) |  |
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| `you` | Example usage for you | [](gpt4free/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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@ -126,10 +126,10 @@ Please note the following:
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## Best sites <a name="best-sites"></a>
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#### gpt-4
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- [`/forefront`](./forefront/README.md)
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- [`/forefront`](gpt4free/forefront/README.md)
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#### gpt-3.5
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- [`/you`](./you/README.md)
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- [`/you`](gpt4free/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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@ -1,57 +0,0 @@
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import requests
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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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# 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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# Submit the request and return the results
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return Completion._submit_request(session, payload)
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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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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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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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@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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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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@ -1,16 +0,0 @@
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### Example: `forefront` (use like openai pypi package) <a name="example-forefront"></a>
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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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@ -1,154 +0,0 @@
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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(
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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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if logging: print(response.text)
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if not 'sign_up_attempt' in response.text:
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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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if logging: 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:
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@staticmethod
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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 = {
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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',
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'content-type': 'application/json',
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'origin': 'https://chat.forefront.ai',
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'pragma': 'no-cache',
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'referer': 'https://chat.forefront.ai/',
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'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"',
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'sec-fetch-dest': 'empty',
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'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',
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}
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json_data = {
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'text': prompt,
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'action': actionType,
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'parentId': chatId,
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'workspaceId': chatId,
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'messagePersona': defaultPersona,
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'model': model
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}
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for chunk in post('https://chat-server.tenant-forefront-default.knative.chi.coreweave.com/chat',
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headers=headers, json=json_data, stream=True).iter_lines():
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if b'finish_reason":null' in chunk:
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data = loads(chunk.decode('utf-8').split('data: ')[1])
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token = data['choices'][0]['delta'].get('content')
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if token != None:
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yield ForeFrontResponse({
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'id': chatId,
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'object': 'text_completion',
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'created': int(time()),
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'model': model,
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'choices': [{
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'text': token,
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'index': 0,
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'logprobs': None,
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'finish_reason': 'stop'
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}],
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'usage': {
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'prompt_tokens': len(prompt),
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'completion_tokens': len(token),
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'total_tokens': len(prompt) + len(token)
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}
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})
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@ -1,36 +0,0 @@
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class ForeFrontResponse:
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class Completion:
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class Choices:
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def __init__(self, choice: dict) -> None:
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self.text = choice['text']
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self.content = self.text.encode()
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self.index = choice['index']
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self.logprobs = choice['logprobs']
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self.finish_reason = choice['finish_reason']
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def __repr__(self) -> str:
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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>'''
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def __init__(self, choices: dict) -> None:
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self.choices = [self.Choices(choice) for choice in choices]
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class Usage:
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def __init__(self, usage_dict: dict) -> None:
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self.prompt_tokens = usage_dict['prompt_tokens']
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self.completion_tokens = usage_dict['completion_tokens']
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self.total_tokens = usage_dict['total_tokens']
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def __repr__(self):
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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>'''
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def __init__(self, response_dict: dict) -> None:
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self.response_dict = response_dict
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self.id = response_dict['id']
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self.object = response_dict['object']
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self.created = response_dict['created']
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self.model = response_dict['model']
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self.completion = self.Completion(response_dict['choices'])
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self.usage = self.Usage(response_dict['usage'])
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def json(self) -> dict:
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return self.response_dict
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@ -0,0 +1,64 @@
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from enum import Enum
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from gpt4free import cocalc
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from gpt4free import forefront
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from gpt4free import quora
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from gpt4free import theb
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from gpt4free import you
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class Provider(Enum):
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"""An enum representing different providers."""
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You = 'you'
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Poe = 'poe'
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ForeFront = 'fore_front'
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Theb = 'theb'
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CoCalc = 'cocalc'
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class Completion:
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"""This class will be used for invoking the given provider"""
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@staticmethod
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def create(provider: Provider, prompt: str, **kwargs) -> str:
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"""
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Invokes the given provider with given prompt and addition arguments and returns the string response
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:param provider: an enum representing the provider to use while invoking
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:param prompt: input provided by the user
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:param kwargs: Additional keyword arguments to pass to the provider while invoking
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:return: A string representing the response from the provider
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"""
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if provider == Provider.Poe:
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return Completion.__poe_service(prompt, **kwargs)
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elif provider == Provider.You:
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return Completion.__you_service(prompt, **kwargs)
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elif provider == Provider.ForeFront:
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return Completion.__fore_front_service(prompt, **kwargs)
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elif provider == Provider.Theb:
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return Completion.__theb_service(prompt, **kwargs)
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elif provider == Provider.CoCalc:
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return Completion.__cocalc_service(prompt, **kwargs)
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else:
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raise Exception('Provider not exist, Please try again')
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@staticmethod
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def __you_service(prompt: str, **kwargs) -> str:
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return you.Completion.create(prompt, **kwargs).text
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@staticmethod
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def __poe_service(prompt: str, **kwargs) -> str:
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return quora.Completion.create(prompt=prompt, **kwargs).text
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@staticmethod
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def __fore_front_service(prompt: str, **kwargs) -> str:
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return forefront.Completion.create(prompt=prompt, **kwargs).text
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@staticmethod
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def __theb_service(prompt: str, **kwargs):
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return ''.join(theb.Completion.create(prompt=prompt))
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@staticmethod
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def __cocalc_service(prompt: str, **kwargs):
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return cocalc.Completion.create(prompt, cookie_input=kwargs.get('cookie_input', '')).text
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@ -0,0 +1,47 @@
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import requests
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from fake_useragent import UserAgent
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from pydantic import BaseModel
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class CoCalcResponse(BaseModel):
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text: str
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status: bool
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class Completion:
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@staticmethod
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def create(prompt: str, cookie_input: str) -> CoCalcResponse:
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# Initialize a session with custom headers
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session = Completion._initialize_session(cookie_input)
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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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# Submit the request and return the results
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return Completion._submit_request(session, payload)
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@classmethod
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def _initialize_session(cls, conversation_cookie) -> 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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'Cookie': conversation_cookie,
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'User-Agent': UserAgent().random,
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}
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session.headers.update(headers)
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return session
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@staticmethod
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def _create_payload(prompt: str, system_prompt: str) -> dict:
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return {'input': prompt, 'system': system_prompt, 'tag': 'next:index'}
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@staticmethod
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def _submit_request(session: requests.Session, payload: dict) -> CoCalcResponse:
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response = session.post('https://cocalc.com/api/v2/openai/chatgpt', json=payload).json()
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return CoCalcResponse(text=response['output'], status=response['success'])
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@ -1,11 +1,10 @@
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### Example: `cocalc` <a name="example-cocalc"></a>
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```python
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# import library
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import cocalc
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from gpt4free import cocalc
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cocalc.Completion.create(prompt="How are you!", cookieInput="cookieinput") ## Tutorial
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cocalc.Completion.create(prompt="How are you!", cookie_input="cookieinput") ## Tutorial
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```
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### How to grab cookie input
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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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```python
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from gpt4free 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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@ -0,0 +1,192 @@
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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 typing import Generator, Optional
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from uuid import uuid4
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from fake_useragent import UserAgent
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from requests import post
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from tls_client import Session
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from .mail import Mail
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from .typing import ForeFrontResponse
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class Account:
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@staticmethod
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def create(proxy: Optional[str] = None, logging: bool = False):
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proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else False
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start = time()
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mail_client = Mail(proxies)
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mail_token = None
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mail_address = mail_client.get_mail()
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# print(mail_address)
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|
||||
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},
|
||||
)
|
||||
|
||||
try:
|
||||
trace_token = response.json()['response']['id']
|
||||
if logging:
|
||||
print(trace_token)
|
||||
except KeyError:
|
||||
return 'Failed to create account!'
|
||||
|
||||
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
|
||||
|
|
@ -0,0 +1,26 @@
|
|||
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
|
||||
|
|
@ -21,26 +21,25 @@ models = {
|
|||
|
||||
```python
|
||||
# import quora (poe) package
|
||||
import quora
|
||||
from gpt4free 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):
|
||||
|
||||
custom_model=model.name,
|
||||
prompt='hello world',
|
||||
token=token):
|
||||
print(response.completion.choices[0].text)
|
||||
```
|
||||
|
||||
|
|
@ -6,11 +6,12 @@ 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
|
||||
from typing import Optional, Union, List, Any, Generator
|
||||
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
|
||||
|
|
@ -18,8 +19,8 @@ from selenium.webdriver.common.by import By
|
|||
from selenium.webdriver.support.wait import WebDriverWait
|
||||
from tls_client import Session as TLS
|
||||
|
||||
from quora.api import Client as PoeClient
|
||||
from quora.mail import Emailnator
|
||||
from .api import Client as PoeClient
|
||||
from .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
|
||||
|
|
@ -67,42 +68,27 @@ def extract_formkey(html):
|
|||
return formkey
|
||||
|
||||
|
||||
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']
|
||||
class Choice(BaseModel):
|
||||
text: str
|
||||
index: int
|
||||
logprobs: Any
|
||||
finish_reason: str
|
||||
|
||||
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(BaseModel):
|
||||
prompt_tokens: int
|
||||
completion_tokens: int
|
||||
total_tokens: int
|
||||
|
||||
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
|
||||
class PoeResponse(BaseModel):
|
||||
id: int
|
||||
object: str
|
||||
created: int
|
||||
model: str
|
||||
choices: List[Choice]
|
||||
usage: Usage
|
||||
text: str
|
||||
|
||||
|
||||
class ModelResponse:
|
||||
|
|
@ -116,18 +102,12 @@ 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)}'
|
||||
|
||||
|
|
@ -162,7 +142,7 @@ class Model:
|
|||
obj={
|
||||
'queryName': 'CreateBotMain_poeBotCreate_Mutation',
|
||||
'variables': {
|
||||
'model': models[model],
|
||||
'model': MODELS[model],
|
||||
'handle': handle,
|
||||
'prompt': system_prompt,
|
||||
'isPromptPublic': True,
|
||||
|
|
@ -202,9 +182,9 @@ 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
|
||||
|
|
@ -309,22 +289,23 @@ 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 = '',
|
||||
) -> Generator[PoeResponse, None, None]:
|
||||
_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'],
|
||||
|
|
@ -343,33 +324,28 @@ class StreamingCompletion:
|
|||
|
||||
|
||||
class Completion:
|
||||
@staticmethod
|
||||
def create(
|
||||
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
|
||||
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
|
||||
|
||||
client = PoeClient(token)
|
||||
|
||||
for chunk in client.send_message(_model, prompt):
|
||||
pass
|
||||
chunk = None
|
||||
for response in client.send_message(_model, prompt):
|
||||
chunk = response
|
||||
|
||||
return PoeResponse(
|
||||
{
|
||||
**{
|
||||
'id': chunk['messageId'],
|
||||
'object': 'text_completion',
|
||||
'created': chunk['creationTime'],
|
||||
'model': _model,
|
||||
'text': chunk['text'],
|
||||
'choices': [
|
||||
{
|
||||
'text': chunk['text'],
|
||||
|
|
@ -389,12 +365,12 @@ 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:
|
||||
|
|
@ -451,8 +427,8 @@ class Poe:
|
|||
driver.close()
|
||||
return cookie
|
||||
|
||||
@classmethod
|
||||
def __resolve_driver(cls, driver: str, driver_path: Optional[str] = None) -> Union[Firefox, Chrome]:
|
||||
@staticmethod
|
||||
def __resolve_driver(driver: str, driver_path: Optional[str] = None) -> Union[Firefox, Chrome]:
|
||||
options = FirefoxOptions() if driver == 'firefox' else ChromeOptions()
|
||||
options.add_argument('-headless')
|
||||
|
||||
|
|
@ -473,12 +449,12 @@ 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.')
|
||||
|
|
@ -492,4 +468,4 @@ class Poe:
|
|||
print(f'Successfully created bot with name: {response["bot"]["displayName"]}')
|
||||
|
||||
def list_bots(self) -> list:
|
||||
return list(self.client.bot_names.values())
|
||||
return list(self.client.bot_names.values())
|
||||
|
|
@ -1,9 +1,8 @@
|
|||
### Example: `theb` (use like openai pypi package) <a name="example-theb"></a>
|
||||
|
||||
|
||||
```python
|
||||
# import library
|
||||
import theb
|
||||
from gpt4free import theb
|
||||
|
||||
# simple streaming completion
|
||||
for token in theb.Completion.create('hello world'):
|
||||
|
|
@ -1,7 +1,8 @@
|
|||
### Example: `you` (use like openai pypi package) <a name="example-you"></a>
|
||||
|
||||
```python
|
||||
import you
|
||||
|
||||
from gpt4free import you
|
||||
|
||||
# simple request with links and details
|
||||
response = you.Completion.create(
|
||||
|
|
@ -1,28 +1,36 @@
|
|||
import json
|
||||
import re
|
||||
from json import loads
|
||||
from typing import Optional, List, Dict, Any
|
||||
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,
|
||||
) -> dict:
|
||||
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:
|
||||
if chat is None:
|
||||
chat = []
|
||||
|
||||
|
|
@ -57,26 +65,28 @@ 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': loads(you_chat_serp_results),
|
||||
'youChatSerpResults': json.loads(you_chat_serp_results),
|
||||
# 'slots' : loads(slots)
|
||||
}
|
||||
|
||||
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,
|
||||
}
|
||||
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']
|
||||
|
||||
@classmethod
|
||||
def __get_headers(cls) -> dict:
|
||||
if detailed:
|
||||
response.extra = extra
|
||||
|
||||
return response
|
||||
|
||||
@staticmethod
|
||||
def __get_headers() -> dict:
|
||||
return {
|
||||
'authority': 'you.com',
|
||||
'accept': 'text/event-stream',
|
||||
|
|
@ -93,6 +103,6 @@ class Completion:
|
|||
'user-agent': UserAgent().random,
|
||||
}
|
||||
|
||||
@classmethod
|
||||
def __get_failure_response(cls) -> dict:
|
||||
return dict(response='Unable to fetch the response, Please try again.', links=[], extra={})
|
||||
@staticmethod
|
||||
def __get_failure_response() -> PoeResponse:
|
||||
return PoeResponse(text='Unable to fetch the response, Please try again.')
|
||||
|
|
@ -3,7 +3,7 @@ import sys
|
|||
|
||||
sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
|
||||
|
||||
import forefront, quora, theb, you
|
||||
from gpt4free import quora, forefront, theb, you
|
||||
import random
|
||||
|
||||
|
||||
|
|
@ -15,7 +15,7 @@ def query_forefront(question: str) -> str:
|
|||
response = ""
|
||||
# get a response
|
||||
try:
|
||||
for i in 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 response
|
||||
|
|
|
|||
|
|
@ -4,7 +4,7 @@ import sys
|
|||
sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
|
||||
|
||||
import streamlit as st
|
||||
import you
|
||||
from gpt4free import you
|
||||
|
||||
|
||||
def get_answer(question: str) -> str:
|
||||
|
|
|
|||
|
|
@ -5,7 +5,7 @@ description = ""
|
|||
authors = ["Raju Komati <komatiraju032@gmail.com>"]
|
||||
license = "GPL-3.0"
|
||||
readme = "README.md"
|
||||
packages = [{ include = "openai_rev" }]
|
||||
packages = [{ include = "gpt4free" }]
|
||||
exclude = ["**/*.txt"]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
|
|
|
|||
2
test.py
2
test.py
|
|
@ -1,4 +1,4 @@
|
|||
import theb
|
||||
from gpt4free import theb
|
||||
|
||||
for token in theb.Completion.create('hello world'):
|
||||
print(token, end='', flush=True)
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
from openai_rev import forefront
|
||||
from gpt4free import forefront
|
||||
|
||||
# create an account
|
||||
token = forefront.Account.create(logging=True)
|
||||
|
|
|
|||
|
|
@ -6,8 +6,8 @@ from typing import Optional
|
|||
from tls_client import Session as TLS
|
||||
from twocaptcha import TwoCaptcha
|
||||
|
||||
from openai_rev.quora import extract_formkey
|
||||
from openai_rev.quora.mail import Emailnator
|
||||
from gpt4free.quora import extract_formkey
|
||||
from gpt4free.quora.mail import Emailnator
|
||||
|
||||
solver = TwoCaptcha('72747bf24a9d89b4dcc1b24875efd358')
|
||||
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
from time import sleep
|
||||
|
||||
from openai_rev import quora
|
||||
from gpt4free import quora
|
||||
|
||||
token = quora.Account.create(proxy=None, logging=True)
|
||||
print('token', token)
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
from openai_rev import quora
|
||||
from gpt4free import quora
|
||||
|
||||
token = quora.Account.create(logging=True, enable_bot_creation=True)
|
||||
|
||||
|
|
|
|||
|
|
@ -1,24 +1,28 @@
|
|||
from openai_rev import openai_rev, Provider, quora, forefront
|
||||
import gpt4free
|
||||
from gpt4free import Provider, quora, forefront
|
||||
|
||||
# usage You
|
||||
response = openai_rev.Completion.create(Provider.You, prompt='Write a poem on Lionel Messi')
|
||||
response = gpt4free.Completion.create(Provider.You, prompt='Write a poem on Lionel Messi')
|
||||
print(response)
|
||||
|
||||
# usage Poe
|
||||
token = quora.Account.create(logging=False)
|
||||
response = openai_rev.Completion.create(
|
||||
Provider.Poe, prompt='Write a poem on Lionel Messi', token=token, model='ChatGPT'
|
||||
)
|
||||
# token = quora.Account.create(logging=False)
|
||||
token = 'GKzCahZYGKhp76LfE197xw=='
|
||||
response = gpt4free.Completion.create(Provider.Poe, prompt='Write a poem on Lionel Messi', token=token, model='ChatGPT')
|
||||
print(response)
|
||||
|
||||
# usage forefront
|
||||
token = forefront.Account.create(logging=False)
|
||||
response = openai_rev.Completion.create(
|
||||
response = gpt4free.Completion.create(
|
||||
Provider.ForeFront, prompt='Write a poem on Lionel Messi', model='gpt-4', token=token
|
||||
)
|
||||
print(response)
|
||||
print(f'END')
|
||||
|
||||
# usage theb
|
||||
response = openai_rev.Completion.create(Provider.Theb, prompt='Write a poem on Lionel Messi')
|
||||
response = gpt4free.Completion.create(Provider.Theb, prompt='Write a poem on Lionel Messi')
|
||||
print(response)
|
||||
|
||||
# usage cocalc
|
||||
response = gpt4free.Completion.create(Provider.CoCalc, prompt='Write a poem on Lionel Messi', cookie_input='')
|
||||
print(response)
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
from openai_rev import you
|
||||
from gpt4free import you
|
||||
|
||||
# simple request with links and details
|
||||
response = you.Completion.create(prompt="hello world", detailed=True, include_links=True)
|
||||
|
|
@ -22,6 +22,6 @@ while True:
|
|||
|
||||
response = you.Completion.create(prompt=prompt, chat=chat)
|
||||
|
||||
print("Bot:", response["response"])
|
||||
print("Bot:", response.text)
|
||||
|
||||
chat.append({"question": prompt, "answer": response["response"]})
|
||||
chat.append({"question": prompt, "answer": response.text})
|
||||
|
|
|
|||
Loading…
Reference in New Issue