Update app.py

app.py

@@ -3,31 +3,20 @@ from transformers import pipeline
 
 MODEL = "cardiffnlp/twitter-roberta-base-sentiment-latest"
 
-# Load once at startup
-classifier = pipeline(
-    "sentiment-analysis",
-    model=MODEL
-)
-
-label_map = {
-    "LABEL_0": "Negative",
-    "LABEL_1": "Neutral",
-    "LABEL_2": "Positive"
-}
+classifier = pipeline("sentiment-analysis", model=MODEL)
 
 def analyze(text):
     result = classifier(text)[0]
     return {
-        "Sentiment": label_map[result["label"]],
+        "Sentiment": result["label"].capitalize(),
         "Confidence": f"{result['score']:.2%}"
     }
 
 demo = gr.Interface(
     fn=analyze,
-    inputs=gr.Textbox(lines=4, placeholder="Enter review text here..."),
+    inputs=gr.Textbox(lines=4),
     outputs="json",
-    title="Product Sentiment Analyzer",
-    description="Runs locally using Transformers inside HF Spaces"
+    title="Sentiment Analyzer"
 )
 
 if __name__ == "__main__":