Update app.py

app.py

@@ -1,26 +1,28 @@
 import gradio as gr
 from transformers import pipeline
 
+sentiment_pipeline = pipeline("sentiment-analysis")
 
-analyzer = pipeline("sentiment-analysis")
+def analyze_sentiment(text):
+    result = sentiment_pipeline(text)[0]
+    return f"Sentiment: {result['label']} (Confidence: {result['score']:.2f})"
 
-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})"
 
+custom_css = """
+#interface-container {background-color: #f8f9fa;}
+#title {color: #2c3e50; font-size: 24px;}
+"""
 
-app = gr.Interface(
-    fn=sentiment_classifier,
-    inputs=gr.Textbox(lines=3, placeholder="Type something..."),
-    outputs="text",
-    title="Text Sentiment Classifier",
-    description="Enter a sentence to analyze its sentiment as POSITIVE or NEGATIVE."
-)
 
+iface = gr.Interface(
+    fn=analyze_sentiment,
+    inputs=gr.Textbox(label="Enter Text", placeholder="Type your sentence here..."),
+    outputs=gr.Text(label="Sentiment Analysis Result"),
+    title="Sentiment Analysis API",
+    description="🔍 Enter a sentence, and the model will predict if it's POSITIVE or NEGATIVE.",
+    theme="compact",
+    css=custom_css
+)
 
-if __name__ == "__main__":
-    app.launch()
+# Launch the Gradio app
+iface.launch()