restaurant_feedback_analysis.py

from transformers import pipeline
import gradio as gr

# Hugging Face's sentiment analysis pipeline
sentiment_analysis = pipeline('sentiment-analysis')

# Function to analyze customer feedback
def analyze_feedback(feedback):
    result = sentiment_analysis(feedback)
    return f"Sentiment: {result[0]['label']} (Confidence: {result[0]['score']:.2f})"

# Gradio interface for feedback analysis
with gr.Blocks() as feedback_app:
    feedback = gr.Textbox(label="Customer Feedback")
    analyze_button = gr.Button("Analyze Feedback")
    sentiment_output = gr.Textbox(label="Sentiment Analysis")
    
    analyze_button.click(fn=analyze_feedback, inputs=feedback, outputs=sentiment_output)

feedback_app.launch()