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https://github.com/xtekky/gpt4free.git
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64 lines
2.0 KiB
Python
64 lines
2.0 KiB
Python
from __future__ import annotations
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import json
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import requests
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from ...typing import Any, CreateResult
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from ..base_provider import BaseProvider
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class Lockchat(BaseProvider):
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url: str = "http://supertest.lockchat.app"
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supports_stream = True
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supports_gpt_35_turbo = True
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supports_gpt_4 = True
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@staticmethod
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def create_completion(
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model: str,
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messages: list[dict[str, str]],
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stream: bool, **kwargs: Any) -> CreateResult:
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temperature = float(kwargs.get("temperature", 0.7))
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payload = {
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"temperature": temperature,
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"messages" : messages,
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"model" : model,
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"stream" : True,
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}
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headers = {
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"user-agent": "ChatX/39 CFNetwork/1408.0.4 Darwin/22.5.0",
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}
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response = requests.post("http://supertest.lockchat.app/v1/chat/completions",
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json=payload, headers=headers, stream=True)
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response.raise_for_status()
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for token in response.iter_lines():
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if b"The model: `gpt-4` does not exist" in token:
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print("error, retrying...")
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Lockchat.create_completion(
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model = model,
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messages = messages,
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stream = stream,
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temperature = temperature,
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**kwargs)
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if b"content" in token:
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token = json.loads(token.decode("utf-8").split("data: ")[1])
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if token := token["choices"][0]["delta"].get("content"):
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yield (token)
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@classmethod
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@property
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def params(cls):
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params = [
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("model", "str"),
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("messages", "list[dict[str, str]]"),
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("stream", "bool"),
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("temperature", "float"),
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]
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param = ", ".join([": ".join(p) for p in params])
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return f"g4f.provider.{cls.__name__} supports: ({param})"
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