mirror of
https://github.com/xtekky/gpt4free.git
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111 lines
4.5 KiB
Python
111 lines
4.5 KiB
Python
from __future__ import annotations
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import base64
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import json
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from aiohttp import ClientSession, BaseConnector
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from ..typing import AsyncResult, Messages, ImageType
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from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
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from ..image import to_bytes, is_accepted_format
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from ..errors import MissingAuthError
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from .helper import get_connector
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class GeminiPro(AsyncGeneratorProvider, ProviderModelMixin):
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label = "Gemini API"
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url = "https://ai.google.dev"
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working = True
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supports_message_history = True
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needs_auth = True
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default_model = "gemini-1.5-pro-latest"
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default_vision_model = default_model
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models = [default_model, "gemini-pro", "gemini-pro-vision", "gemini-1.5-flash"]
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@classmethod
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async def create_async_generator(
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cls,
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model: str,
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messages: Messages,
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stream: bool = False,
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proxy: str = None,
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api_key: str = None,
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api_base: str = "https://generativelanguage.googleapis.com/v1beta",
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use_auth_header: bool = False,
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image: ImageType = None,
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connector: BaseConnector = None,
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**kwargs
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) -> AsyncResult:
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model = cls.get_model(model)
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if not api_key:
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raise MissingAuthError('Add a "api_key"')
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headers = params = None
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if use_auth_header:
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headers = {"Authorization": f"Bearer {api_key}"}
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else:
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params = {"key": api_key}
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method = "streamGenerateContent" if stream else "generateContent"
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url = f"{api_base.rstrip('/')}/models/{model}:{method}"
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async with ClientSession(headers=headers, connector=get_connector(connector, proxy)) as session:
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contents = [
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{
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"role": "model" if message["role"] == "assistant" else "user",
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"parts": [{"text": message["content"]}]
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}
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for message in messages
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if message["role"] != "system"
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]
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if image is not None:
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image = to_bytes(image)
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contents[-1]["parts"].append({
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"inline_data": {
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"mime_type": is_accepted_format(image),
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"data": base64.b64encode(image).decode()
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}
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})
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data = {
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"contents": contents,
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"generationConfig": {
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"stopSequences": kwargs.get("stop"),
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"temperature": kwargs.get("temperature"),
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"maxOutputTokens": kwargs.get("max_tokens"),
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"topP": kwargs.get("top_p"),
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"topK": kwargs.get("top_k"),
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}
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}
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system_prompt = "\n".join(
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message["content"]
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for message in messages
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if message["role"] == "system"
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)
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if system_prompt:
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data["system_instruction"] = {"parts": {"text": system_prompt}}
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async with session.post(url, params=params, json=data) as response:
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if not response.ok:
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data = await response.json()
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data = data[0] if isinstance(data, list) else data
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raise RuntimeError(f"Response {response.status}: {data['error']['message']}")
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if stream:
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lines = []
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async for chunk in response.content:
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if chunk == b"[{\n":
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lines = [b"{\n"]
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elif chunk == b",\r\n" or chunk == b"]":
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try:
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data = b"".join(lines)
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data = json.loads(data)
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yield data["candidates"][0]["content"]["parts"][0]["text"]
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except:
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data = data.decode(errors="ignore") if isinstance(data, bytes) else data
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raise RuntimeError(f"Read chunk failed: {data}")
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lines = []
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else:
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lines.append(chunk)
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else:
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data = await response.json()
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candidate = data["candidates"][0]
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if candidate["finishReason"] == "STOP":
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yield candidate["content"]["parts"][0]["text"]
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else:
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yield candidate["finishReason"] + ' ' + candidate["safetyRatings"] |