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Update app.py
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app.py
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@@ -1,20 +1,24 @@
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import gradio as gr
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import pandas as pd
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# Function to handle user feedback submission
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def submit_feedback(message):
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# Append the message to the user feedback DataFrame
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user_feedback = pd.DataFrame({"message": [message]})
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user_feedback.to_csv("user_feedback.csv", mode='a', header=False, index=False)
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return "Feedback submitted successfully!"
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# Create a Gradio interface for submitting feedback
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with gr.Blocks() as demo:
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# Textbox for user to input feedback
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feedback_input = gr.Textbox(label="Your Feedback")
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# Button to submit feedback
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submit_button = gr.Button("Submit Feedback")
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# Textbox to display the result of the submission
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feedback_output = gr.Textbox(label="Result")
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# Set up the event listener for the submit button
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submit_button.click(fn=submit_feedback, inputs=feedback_input, outputs=feedback_output)
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# Launch the Gradio app
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demo.launch(show_error=True)
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import gradio as gr
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import pandas as pd
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# Function to handle user feedback submission
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def submit_feedback(message):
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# Append the message to the user feedback DataFrame
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user_feedback = pd.DataFrame({"message": [message]})
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user_feedback.to_csv("user_feedback.csv", mode='a', header=False, index=False)
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return "Feedback submitted successfully!"
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# Create a Gradio interface for submitting feedback
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with gr.Blocks() as demo:
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# Textbox for user to input feedback
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feedback_input = gr.Textbox(label="Your Feedback")
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# Button to submit feedback
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submit_button = gr.Button("Submit Feedback")
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# Textbox to display the result of the submission
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feedback_output = gr.Textbox(label="Result")
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# Set up the event listener for the submit button
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submit_button.click(fn=submit_feedback, inputs=feedback_input, outputs=feedback_output)
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# Launch the Gradio app
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demo.launch(show_error=True)
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