Update app.py

app.py

@@ -1,21 +1,26 @@
 import gradio as gr
 from transformers import pipeline
 
-# Load Sentiment Analysis model
-sentiment_pipeline = pipeline("sentiment-analysis")
 
-def analyze_sentiment(text):
-    result = sentiment_pipeline(text)[0]
-    return f"Sentiment: {result['label']} (Confidence: {result['score']:.2f})"
+analyzer = pipeline("sentiment-analysis")
 
-# Create Gradio Interface
-iface = gr.Interface(
-    fn=analyze_sentiment,
-    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
+def sentiment_classifier(input_text):
+    """Classifies the sentiment of the given text."""
+    prediction = analyzer(input_text)[0]
+    sentiment_label = prediction['label']
+    confidence_score = round(prediction['score'], 2)
+    
+    return f"Sentiment: {sentiment_label} (Confidence: {confidence_score})"
+
+
+app = gr.Interface(
+    fn=sentiment_classifier,
+    inputs=gr.Textbox(lines=3, placeholder="Type something..."),
     outputs="text",
-    title="Sentiment Analysis API",
-    description="Enter a sentence, and the model will predict if it's POSITIVE or NEGATIVE."
+    title="Text Sentiment Classifier",
+    description="Enter a sentence to analyze its sentiment as POSITIVE or NEGATIVE."
 )
 
-# Launch the Gradio app
-iface.launch()
+
+if __name__ == "__main__":
+    app.launch()