Create restaurant_feedback_analysis.py

restaurant_feedback_analysis.py

@@ -0,0 +1,20 @@
+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()