AIChatFree.py 2.5 KB

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  1. from __future__ import annotations
  2. import time
  3. from hashlib import sha256
  4. from aiohttp import BaseConnector, ClientSession
  5. from ..errors import RateLimitError
  6. from ..requests import raise_for_status
  7. from ..requests.aiohttp import get_connector
  8. from ..typing import AsyncResult, Messages
  9. from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
  10. class AIChatFree(AsyncGeneratorProvider, ProviderModelMixin):
  11. url = "https://aichatfree.info"
  12. working = True
  13. supports_stream = True
  14. supports_message_history = True
  15. default_model = 'gemini-1.5-pro'
  16. @classmethod
  17. async def create_async_generator(
  18. cls,
  19. model: str,
  20. messages: Messages,
  21. proxy: str = None,
  22. connector: BaseConnector = None,
  23. **kwargs,
  24. ) -> AsyncResult:
  25. headers = {
  26. "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:122.0) Gecko/20100101 Firefox/122.0",
  27. "Accept": "*/*",
  28. "Accept-Language": "en-US,en;q=0.5",
  29. "Accept-Encoding": "gzip, deflate, br",
  30. "Content-Type": "text/plain;charset=UTF-8",
  31. "Referer": f"{cls.url}/",
  32. "Origin": cls.url,
  33. }
  34. async with ClientSession(
  35. connector=get_connector(connector, proxy), headers=headers
  36. ) as session:
  37. timestamp = int(time.time() * 1e3)
  38. data = {
  39. "messages": [
  40. {
  41. "role": "model" if message["role"] == "assistant" else "user",
  42. "parts": [{"text": message["content"]}],
  43. }
  44. for message in messages
  45. ],
  46. "time": timestamp,
  47. "pass": None,
  48. "sign": generate_signature(timestamp, messages[-1]["content"]),
  49. }
  50. async with session.post(
  51. f"{cls.url}/api/generate", json=data, proxy=proxy
  52. ) as response:
  53. if response.status == 500:
  54. if "Quota exceeded" in await response.text():
  55. raise RateLimitError(
  56. f"Response {response.status}: Rate limit reached"
  57. )
  58. await raise_for_status(response)
  59. async for chunk in response.content.iter_any():
  60. yield chunk.decode(errors="ignore")
  61. def generate_signature(time: int, text: str, secret: str = ""):
  62. message = f"{time}:{text}:{secret}"
  63. return sha256(message.encode()).hexdigest()