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Modified
g4f/Provider/GeminiPro.py
+16
-10
XFEstudio/gpt4free
Custom api_base for GeminiPro
307c8f53
代码差异
1 个文件
+16
-10
@@ -13,6 +13,7 @@ class GeminiPro(AsyncGeneratorProvider, ProviderModelMixin):
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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-pro"
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models = ["gemini-pro", "gemini-pro-vision"]
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@@ -24,19 +25,24 @@ class GeminiPro(AsyncGeneratorProvider, ProviderModelMixin):
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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 = None,
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image: ImageType = None,
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**kwargs
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) -> AsyncResult:
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model = "gemini-pro-vision" if not model and image else model
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model = cls.get_model(model)
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if not api_key:
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raise MissingAuthError('Missing "api_key" for auth')
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headers = {
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"Content-Type": "application/json",
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}
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async with ClientSession(headers=headers) as session:
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method = "streamGenerateContent" if stream else "generateContent"
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url = f"https://generativelanguage.googleapis.com/v1beta/models/{model}:{method}"
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if not api_key and not api_base:
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raise MissingAuthError('Missing "api_key" or "api_base"')
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if not api_base:
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api_base = f"https://generativelanguage.googleapis.com/v1beta"
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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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if api_key:
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url += f"?key={api_key}"
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async with ClientSession() as session:
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contents = [
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{
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"role": "model" if message["role"] == "assistant" else message["role"],
@@ -62,7 +68,7 @@ class GeminiPro(AsyncGeneratorProvider, ProviderModelMixin):
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"topK": kwargs.get("top_k"),
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}
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}
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async with session.post(url, params={"key": api_key}, json=data, proxy=proxy) as response:
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async with session.post(url, json=data, proxy=proxy) as response:
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if not response.ok:
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data = await response.json()
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raise RuntimeError(data[0]["error"]["message"])
@@ -78,7 +84,7 @@ class GeminiPro(AsyncGeneratorProvider, ProviderModelMixin):
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yield data["candidates"][0]["content"]["parts"][0]["text"]
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except:
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data = data.decode() if isinstance(data, bytes) else data
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raise RuntimeError(f"Read text failed. data: {data}")
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raise RuntimeError(f"Read chunk failed. data: {data}")
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lines = []
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else:
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lines.append(chunk)