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Create app.py
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app.py
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import gradio as gr
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import google.generativeai as genai
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# Configure Gemini API
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genai.configure(api_key='AIzaSyCgfXYWyJjK8YrApUjO6433P3WAdpwQi0Y')
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model = genai.GenerativeModel('gemini-pro')
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def generate_response(user_message):
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try:
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# Use Gemini API to generate a response
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response = model.generate_content(user_message)
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# Check if the response has text
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if response.text:
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return response.text
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else:
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return "Error: The model generated an empty response."
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except Exception as e:
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return f"An error occurred: {str(e)}"
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# Conversation history tracking
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conversation_history = []
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def chat_interface(user_message):
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# Generate response
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response = generate_response(user_message)
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# Update conversation history
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conversation_history.append((user_message, response))
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# Prepare history for display
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history_text = ""
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for i, (question, answer) in enumerate(conversation_history):
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history_text += f"Q{i+1}: {question}\n"
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history_text += f"A{i+1}: {answer}\n\n"
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return response, history_text
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# Example questions
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examples = [
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"What is the capital of France?",
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"Explain quantum computing in simple terms."
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]
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# Create Gradio interface
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with gr.Blocks() as demo:
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gr.Markdown("# 🦷🦷 Gemini QA System 🦷🦷")
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gr.Markdown("Ask a question and get an answer from Gemini AI.")
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with gr.Row():
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with gr.Column(scale=3):
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input_text = gr.Textbox(label="Enter your question here...")
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submit_btn = gr.Button("Submit")
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with gr.Column(scale=1):
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gr.Markdown("### Examples")
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example_buttons = [gr.Button(ex) for ex in examples]
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output_text = gr.Textbox(label="Answer")
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history_text = gr.Textbox(label="Conversation History")
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# Submit button logic
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submit_btn.click(
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fn=chat_interface,
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inputs=input_text,
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outputs=[output_text, history_text]
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)
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# Example button logic
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for btn, ex in zip(example_buttons, examples):
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btn.click(
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fn=chat_interface,
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inputs=gr.State(ex),
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outputs=[output_text, history_text]
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)
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# Launch the demo
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demo.launch()
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