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	測試GOOGLE
Browse files- app.py +17 -26
- requirements.txt +3 -1
    	
        app.py
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            import gradio as gr
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            from  | 
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            """
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            client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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            def respond(
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                message,
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                max_tokens,
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                temperature,
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                top_p,
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            ):
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                for val in history:
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                    if val[0]:
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                        messages.append({"role": "user", "content": val[0]})
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                    if val[1]:
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                        messages.append({"role": "assistant", "content": val[1]})
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                    temperature=temperature,
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                    top_p=top_p,
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                ):
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                    token = message.choices[0].delta.content
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                    response += token
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                    yield response
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            """
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            For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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                ],
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            )
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            if __name__ == "__main__":
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                demo.launch()
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            import os
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            import gradio as gr
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            from google import genai
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            # Read the API key from the environment variable
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            api_key = os.getenv("GOOGLE_API_KEY")
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            client = genai.Client(api_key=api_key)
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            chat = client.chats.create(model="gemini-2.0-flash")
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            def respond(
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                message,
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                max_tokens,
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                temperature,
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                top_p,
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                api_key="GEMINI_API_KEY",
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            ):
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                global chat
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                # Send the user message to the chat
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                response = chat.send_message(message)
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                # Retrieve the chat history
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                history = chat.get_history()
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                # Format the response and history for display
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                formatted_history = "\n".join(
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                    [f"role - {msg.role}: {msg.parts[0].text}" for msg in history]
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                )
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                return response.text, formatted_history
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            """
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            For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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                ],
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            )
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            if __name__ == "__main__":
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                demo.launch()
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        requirements.txt
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            huggingface_hub==0.25.2
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            huggingface_hub==0.25.2
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            google-genai
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            requests
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