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app.py
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import gradio as gr
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# Define a blue-themed CSS for the interface
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blue_theme_css = """
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body {background-color: #e0f7fa;} /* Light blue background */
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.gradio-app {color: #0d47a1;} /* Dark blue text for general elements */
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.button {background-color: #42a5f5 !important;} /* Medium blue button */
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.button:hover {background-color: #1e88e5 !important;} /* Darker blue on hover */
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"""
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# Define the assistant prompt with the name "Se" for the model
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assistant_prompt = "You are a helpful assistant named Se. Answer questions concisely and helpfully, as if you're assisting the user personally."
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# Define a function to interact with the model, taking input and adding context
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def assistant_response(user_input):
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# Here, you'd modify this to pass the assistant_prompt to your model API
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response = gr.load("models/meta-llama/Llama-3.2-3B-Instruct")(f"{assistant_prompt} {user_input}")
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return response
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# Create the Gradio Interface for the API
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app = gr.Interface(
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fn=assistant_response,
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inputs="text",
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outputs="text",
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css=blue_theme_css,
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title="Helpful Assistant API",
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description="Ask Se anything, and they'll do their best to help!",
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examples=["What's the weather like today?", "Explain Python decorators."],
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flagging_mode="never" # Updated parameter
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)
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# Launch the app and make it API accessible
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app.launch(api_name="get_help") # Removed enable_queue
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