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Update app.py
Browse files
app.py
CHANGED
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@@ -95,16 +95,16 @@ def query_model(question, history):
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"""
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Process a question, find relevant information, and generate a response.
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"""
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global question_g
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question_g = question
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if question == "":
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return "What the sigma! You didn't ask a question. Feel free to ask me anything about the topics listed above."
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relevant_segment = find_relevant_segment(question, segments)
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if not relevant_segment:
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return "Unfortunately I cannot answer your question..😔 Try refining your question so I can try again."
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global response_g
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return
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# Define the welcome message and specific topics the chatbot can provide information about
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welcome_message = """
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@@ -143,8 +143,8 @@ with gr.Blocks(theme='gradio/soft') as demo:
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with gr.Row():
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flag_btn = gr.Button("Flag")
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callback.setup([
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flag_btn.click(lambda *args: callback.flag(args), [
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# Launch the Gradio app to allow user interaction
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demo.launch(share=True)
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"""
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Process a question, find relevant information, and generate a response.
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"""
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# global question_g
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# question_g = question
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if question == "":
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return "What the sigma! You didn't ask a question. Feel free to ask me anything about the topics listed above."
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relevant_segment = find_relevant_segment(question, segments)
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if not relevant_segment:
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return "Unfortunately I cannot answer your question..😔 Try refining your question so I can try again."
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# global response_g
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response = generate_response(question, relevant_segment)
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return response
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# Define the welcome message and specific topics the chatbot can provide information about
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welcome_message = """
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with gr.Row():
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flag_btn = gr.Button("Flag")
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callback.setup([chatbot], "flagged_data_points")
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flag_btn.click(lambda *args: callback.flag(args), [chatbot], None, preprocess=False)
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# Launch the Gradio app to allow user interaction
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demo.launch(share=True)
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