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import gradio as gr
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from transformers import pipeline
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def stockmarket_qa(question):
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model_name = "AventIQ-AI/t5-stockmarket-qa-chatbot"
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print("Loading model...")
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generator = pipeline("text2text-generation", model=model_name, device=0)
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instruction = "question: "
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input_text = f"{instruction}{question}"
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print(f"Processing input: {input_text}")
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response = generator(input_text, max_new_tokens=200)[0]['generated_text']
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print(f"Response: {response}")
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return response
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iface = gr.Interface(
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fn=stockmarket_qa,
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inputs=gr.Textbox(label="📈 Ask a Stock Market Question", placeholder="Enter your query about the stock market...", lines=3),
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outputs=gr.Textbox(label="💡 Expert Answer", interactive=True),
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title="📊 AI-Powered Stock Market Q&A Chatbot",
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description="🤖 Enter a stock market-related question, and the AI chatbot will generate a detailed response based on financial knowledge.",
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theme="compact",
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allow_flagging="never",
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examples=[
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["What are the best stocks to invest in right now?"],
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["How does inflation affect stock prices?"],
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["What is technical analysis in stock trading?"],
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["Explain the difference between a bull and bear market."],
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["How do interest rates impact the stock market?"]
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],
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)
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if __name__ == "__main__":
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iface.launch()
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