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Update app.py
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app.py
CHANGED
@@ -62,33 +62,31 @@ rag_chain = (
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| StrOutputParser()
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)
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return [("System", "Hi! How can I assist you today?")] # Provide a default greeting
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# Extract the last user message
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user_message = messages[-1][0]
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# Generate a response using the RAG chain
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response = rag_chain.invoke(user_message)
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# Append response to the chat
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messages.append((user_message, response))
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with gr.Blocks(theme="rawrsor1/Everforest") as app:
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gr.Markdown("## Welcome to Annie's Chatbot - Your Friendly Guide to Birmingham!")
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chatbot = gr.Chatbot([
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question_input = gr.Textbox(label="Ask a Question", placeholder="Type your question here...")
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submit_btn = gr.Button("Submit")
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# Set up interaction
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submit_btn.click(
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rag_chain_response,
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inputs=[chatbot],
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outputs=[chatbot]
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)
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# Launch the Gradio app
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| StrOutputParser()
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)
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# Function to handle chatbot interaction
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def rag_chain_response(messages, user_message):
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# Generate a response using the RAG chain
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response = rag_chain.invoke(user_message)
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# Append the user's message and the response to the chat
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messages.append((user_message, response))
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# Return the updated chat and clear the input box
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return messages, ""
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# Define the Gradio app
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with gr.Blocks(theme="rawrsor1/Everforest") as app:
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gr.Markdown("## Welcome to Annie's Chatbot - Your Friendly Guide to Birmingham!")
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chatbot = gr.Chatbot([], elem_id="RADAR", bubble_full_width=False)
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question_input = gr.Textbox(label="Ask a Question", placeholder="Type your question here...")
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submit_btn = gr.Button("Submit")
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# Set up interaction
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submit_btn.click(
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rag_chain_response, # Function to handle input and generate response
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inputs=[chatbot, question_input], # Pass current conversation state and user input
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outputs=[chatbot, question_input] # Update conversation state and clear the input
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)
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# Launch the Gradio app
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