mirror of
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68 lines
2.3 KiB
Python
68 lines
2.3 KiB
Python
from __future__ import annotations
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import json
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from ..typing import CreateResult, Messages
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from .base_provider import AbstractProvider, format_prompt
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from ..requests import Session, get_session_from_browser, raise_for_status
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class Pi(AbstractProvider):
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url = "https://pi.ai/talk"
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working = True
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supports_stream = True
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_session = None
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@classmethod
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def create_completion(
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cls,
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model: str,
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messages: Messages,
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stream: bool,
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proxy: str = None,
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timeout: int = 180,
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conversation_id: str = None,
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**kwargs
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) -> CreateResult:
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if cls._session is None:
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cls._session = get_session_from_browser(url=cls.url, proxy=proxy, timeout=timeout)
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if not conversation_id:
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conversation_id = cls.start_conversation(cls._session)
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prompt = format_prompt(messages)
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else:
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prompt = messages[-1]["content"]
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answer = cls.ask(cls._session, prompt, conversation_id)
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for line in answer:
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if "text" in line:
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yield line["text"]
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@classmethod
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def start_conversation(cls, session: Session) -> str:
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response = session.post('https://pi.ai/api/chat/start', data="{}", headers={
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'accept': 'application/json',
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'x-api-version': '3'
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})
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raise_for_status(response)
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return response.json()['conversations'][0]['sid']
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def get_chat_history(session: Session, conversation_id: str):
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params = {
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'conversation': conversation_id,
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}
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response = session.get('https://pi.ai/api/chat/history', params=params)
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raise_for_status(response)
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return response.json()
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def ask(session: Session, prompt: str, conversation_id: str):
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json_data = {
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'text': prompt,
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'conversation': conversation_id,
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'mode': 'BASE',
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}
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response = session.post('https://pi.ai/api/chat', json=json_data, stream=True)
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raise_for_status(response)
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for line in response.iter_lines():
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if line.startswith(b'data: {"text":'):
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yield json.loads(line.split(b'data: ')[1])
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elif line.startswith(b'data: {"title":'):
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yield json.loads(line.split(b'data: ')[1])
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