VedantJhunthra commited on
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  1. app.py +22 -0
  2. requirements.txt +4 -0
app.py ADDED
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+ import gradio as gr
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+ from transformers import pipeline
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+
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+ # Load the Pythia-410m chatbot model
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+ chatbot = pipeline("text-generation", model="AventIQ-AI/pythia-410m-chatbot")
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+
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+ def chat_response(prompt):
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+ response = chatbot(prompt, max_length=200, num_return_sequences=1)
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+ return response[0]['generated_text']
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+
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+ # Create Gradio interface
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+ iface = gr.Interface(
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+ fn=chat_response,
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+ inputs=gr.Textbox(lines=3, placeholder="Ask me anything..."),
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+ outputs=gr.Textbox(label="Chatbot Response"),
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+ title="Pythia-410m Chatbot",
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+ description="An AI-powered chatbot using the Pythia-410m model fine-tuned by AventIQ.",
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+ )
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+
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+ # Launch the app
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+ if __name__ == "__main__":
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+ iface.launch()
requirements.txt ADDED
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+ torch
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+ transformers
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+ sentencepiece
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+ gradio