Update app.py

app.py

@@ -1,23 +1,23 @@
 import gradio as gr
 from transformers import pipeline
 
-
+# Load the sentiment analysis model
 sentiment_analyzer = pipeline("sentiment-analysis", model="nlptown/bert-base-multilingual-uncased-sentiment")
 
-
+# Function to analyze sentiment
 def analyze_sentiment(text):
     if len(text.strip()) == 0:
         return "Please enter some text for sentiment analysis."
 
     result = sentiment_analyzer(text)[0]
     
-   
-    sentiment_label = result['label'].split()[0](
-    confidence = round(result['score'] * 100, 2)  
+    # Extract numerical rating from the label (e.g., "5 stars" → "5")
+    sentiment_label = result['label'].split()[0]  # Extract only the number (1-5)
+    confidence = round(result['score'] * 100, 2)  # Convert to percentage
     
     return f"⭐ Sentiment: {sentiment_label} Stars (Confidence: {confidence}%)"
 
-e
+# Create the Gradio interface
 iface = gr.Interface(
     fn=analyze_sentiment,
     inputs=gr.Textbox(lines=3, placeholder="Enter a sentence or paragraph...", label="Input Text"),
@@ -33,5 +33,6 @@ iface = gr.Interface(
     allow_flagging="never"
 )
 
-
+# Launch the app
 iface.launch()
+