測試GOOGLE
Browse files- app.py +17 -26
- requirements.txt +3 -1
app.py
CHANGED
@@ -1,11 +1,12 @@
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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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@@ -14,31 +15,22 @@ def respond(
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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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@@ -59,6 +51,5 @@ demo = gr.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
CHANGED
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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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