68 lines
2.4 KiB
Python
68 lines
2.4 KiB
Python
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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"""A class for generating text completions using CoCalc's GPT-based chatbot."""
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API_ENDPOINT = "https://cocalc.com/api/v2/openai/chatgpt"
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DEFAULT_SYSTEM_PROMPT = "ASSUME I HAVE FULL ACCESS TO COCALC. "
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@staticmethod
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def create(prompt: str, cookie_input: str) -> CoCalcResponse:
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"""
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Generate a text completion for the given prompt using CoCalc's GPT-based chatbot.
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Args:
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prompt: The text prompt to complete.
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cookie_input: The cookie required to authenticate the chatbot API request.
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Returns:
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A CoCalcResponse object containing the text completion and a boolean indicating
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whether the request was successful.
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"""
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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, Completion.DEFAULT_SYSTEM_PROMPT)
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try:
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# Submit the request and return the results
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response = session.post(Completion.API_ENDPOINT, json=payload).json()
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return CoCalcResponse(text=response['output'], status=response['success'])
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except requests.exceptions.RequestException as e:
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# Handle exceptions that may occur during the request
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print(f"Error: {e}")
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return CoCalcResponse(text="", status=False)
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@classmethod
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def _initialize_session(cls, conversation_cookie: str) -> 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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"""Create the payload for the API request."""
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return {"input": prompt, "system": system_prompt, "tag": "next:index"}
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