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app.py
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import gradio as gr
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from transformers import pipeline
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# Load the model
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model = pipeline("text-generation", model="AdaptLLM/finance-chat")
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def generate_response(query):
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response = model(query, max_length=100)
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return response[0]['generated_text']
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# Create Gradio interface
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iface = gr.Interface(
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fn=generate_response,
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inputs=gr.inputs.Textbox(lines=2, placeholder="Enter your query here..."),
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outputs="text",
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title="Finance Chat"
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)
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iface.launch()
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