Update app.py

app.py

@@ -10,10 +10,7 @@ sentiment_model = pipeline("sentiment-analysis", model=model, tokenizer=tokenize
 # Function for Gradio
 def analyze_sentiment(text):
     result = sentiment_model(text)[0]
-    return {
-        "Sentiment": result["label"],
-        "Confidence": f"{result['score']:.2f}"
-    }
+    return f"Sentiment: {result['label']} | Confidence: {result['score']:.2f}"
 
 # Example texts
 examples = [
@@ -26,11 +23,11 @@ examples = [
 demo = gr.Interface(
     fn=analyze_sentiment,
     inputs=gr.Textbox(lines=3, placeholder="Type a sentence here..."),
-    outputs="label",
+    outputs="text",
     examples=examples,
     title="Tweet Sentiment Analyzer",
-    description=""
+    description="A simple Hugging Face Space to analyze sentiment in tweets using CardiffNLP's RoBERTa model."
 )
 
-if _name_ == "_main_":
-    demo.launch()
+if __name__ == "__main__":
+    demo.launch()