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| import gradio as gr | |
| import requests | |
| from mvp import tbl | |
| # # Function to call your system API and get the response | |
| # def search_question(question): | |
| # # Replace 'your_system_api_url' with the actual API endpoint | |
| # api_url = 'your_system_api_url' | |
| # try: | |
| # response = requests.post(api_url, json={"question": question}) | |
| # response.raise_for_status() # Raise an HTTPError for bad responses | |
| # return response.json().get('answer', 'No answer found.') | |
| # except Exception as e: | |
| # return f"Error: {str(e)}" | |
| # Function to handle feedback submission | |
| def handle_feedback(feedback, additional_feedback): | |
| # Process the feedback as needed | |
| return "Thank you for your feedback!" | |
| from mvp import search_question | |
| # Define the Gradio interface | |
| def gradio_app(): | |
| with gr.Blocks() as demo: | |
| # Header | |
| gr.Markdown("# RizzCon Anwering Machine") | |
| # Textbox for question input | |
| question_input = gr.Textbox(label="Enter your question:", lines=2, placeholder="Type your question here...") | |
| # Button to submit question | |
| search_button = gr.Button("Search") | |
| # Output box for showing the result | |
| # Output box for showing the result | |
| # result_output = gr.Dataframe(label="Answers",wrap = True, headers=["Text", "Filename", "Username"], datatype=["str", "str", "str"], visible=False) | |
| result_output = gr.Markdown(label="Answers", visible=False) | |
| # Feedback question | |
| feedback_question = gr.Markdown("Did the result answer your question?", visible=False) | |
| # Thumbs up and down buttons | |
| thumbs_up = gr.Button("👍", visible=False) | |
| thumbs_down = gr.Button("👎", visible=False) | |
| # Optional text box for additional feedback on thumbs down | |
| additional_feedback = gr.Textbox(label="Please provide specific feedback:", lines=2, placeholder="Type your feedback here...", visible=False) | |
| # Submit button for feedback | |
| feedback_button = gr.Button("Submit Feedback", visible=False) | |
| # Function to show the feedback options and answer after search | |
| # Function to show the feedback options and answer after search | |
| def show_feedback_and_answer(answer): | |
| return ( | |
| gr.update(visible=True), # result_output | |
| gr.update(visible=True), # feedback_question | |
| gr.update(visible=True), # thumbs_up | |
| gr.update(visible=True), # thumbs_down | |
| gr.update(visible=True) # feedback_button | |
| ) | |
| # Function to show the additional feedback textbox | |
| def show_additional_feedback_box(): | |
| return gr.update(visible=True) | |
| def format_results(docs): | |
| return [[doc.text, doc.filename, doc.username] for doc in docs] | |
| search_button.click( | |
| fn=search_question, | |
| inputs=question_input, | |
| outputs=result_output | |
| ).then( | |
| fn=show_feedback_and_answer, | |
| inputs=None, | |
| outputs=[result_output, feedback_question, thumbs_up, thumbs_down, feedback_button] | |
| ) | |
| thumbs_down.click(fn=show_additional_feedback_box, outputs=additional_feedback) | |
| # Connect the feedback button to the handle_feedback function | |
| feedback_button.click(fn=handle_feedback, inputs=[thumbs_down, additional_feedback], outputs=None) | |
| return demo | |
| # Launch the Gradio app | |
| if __name__ == "__main__": | |
| gradio_app().launch() | |