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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()
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