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| import gradio as gr | |
| # Function to integrate with Gradio | |
| def rag_chatbot(query): | |
| answer_text = ask(query, return_answer_only=True) # This ensures we only get the answer | |
| return answer_text | |
| # Gradio interface setup | |
| interface = gr.Interface( | |
| fn=rag_chatbot, | |
| inputs="text", | |
| outputs="text", | |
| title="RAG Chatbot", | |
| description="This is a Retrieval-Augmented Generation (RAG) Chatbot for Information Retrieval Textbook queries." | |
| ) | |
| # Launch the Gradio app | |
| interface.launch(share = True) |