2023-08-27 11:37:44 -04:00
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import uuid, requests
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2023-07-28 06:07:17 -04:00
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2023-08-27 11:37:44 -04:00
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from ..typing import Any, CreateResult
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from .base_provider import BaseProvider
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class Liaobots(BaseProvider):
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url: str = "https://liaobots.com"
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supports_stream = True
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needs_auth = 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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headers = {
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"authority" : "liaobots.com",
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"content-type" : "application/json",
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"origin" : "https://liaobots.com",
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"referer" : "https://liaobots.com/",
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"user-agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36",
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"x-auth-code" : str(kwargs.get("auth")),
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}
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models = {
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"gpt-4": {
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"id": "gpt-4",
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"name": "GPT-4",
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"maxLength": 24000,
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"tokenLimit": 8000,
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},
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"gpt-3.5-turbo": {
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"id": "gpt-3.5-turbo",
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"name": "GPT-3.5",
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"maxLength": 12000,
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"tokenLimit": 4000,
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},
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}
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json_data = {
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"conversationId": str(uuid.uuid4()),
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"model" : models[model],
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"messages" : messages,
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"key" : "",
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"prompt" : "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully. Respond using markdown.",
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}
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response = requests.post("https://liaobots.com/api/chat",
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headers=headers, json=json_data, stream=True)
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response.raise_for_status()
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for token in response.iter_content(chunk_size=2046):
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yield token.decode("utf-8")
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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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("auth", "str"),
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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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