Update app.py

app.py

@@ -1,18 +1,39 @@
 import gradio as gr
 from transformers import pipeline
 
-# Load the sentiment analysis pipeline from Hugging Face
+# Load the sentiment analysis pipeline
 sentiment_pipeline = pipeline("sentiment-analysis")
 
+# Function to analyze sentiment
 def sentiment_analysis(message, history):
-    # Perform sentiment analysis on the user's message
     result = sentiment_pipeline(message)[0]
     label = result["label"]
     score = result["score"]
-    return f"Sentiment: {label}, Confidence: {score:.2f}"
+    response = f"Sentiment: {label}, Confidence: {score:.2f}"
+    return response
 
-# Create a Gradio ChatInterface with the sentiment analysis function
-gr.ChatInterface(
-    fn=sentiment_analysis, 
-    type="messages"
-).launch()
+# Function to record feedback
+feedback_store = []  # A list to store feedback
+
+def record_feedback(response, feedback):
+    feedback_store.append({"response": response, "feedback": feedback})
+    return f"Thank you for your feedback! ({len(feedback_store)} recorded)"
+
+# Gradio Interface
+with gr.Blocks() as demo:
+    chat = gr.ChatInterface(fn=sentiment_analysis, type="messages")
+    
+    # Additional components for feedback
+    with gr.Row():
+        feedback_input = gr.Textbox(placeholder="Enter your feedback here", label="Feedback")
+        record_button = gr.Button("Submit Feedback")
+    
+    # Feedback submission functionality
+    feedback_status = gr.Textbox(interactive=False, label="Feedback Status")
+    record_button.click(
+        fn=record_feedback,
+        inputs=[chat.output_component, feedback_input],
+        outputs=feedback_status,
+    )
+
+demo.launch()