updated the error

app.py

@@ -1,32 +1,32 @@
 from transformers import pipeline
 import gradio as gr
 
-# 1. Load the sentiment-analysis pipeline
-sentiment = pipeline("sentiment-analysis")
+# Load sentiment analysis model
+classifier = pipeline("sentiment-analysis")
 
-# 2. Define inference function
+# Define the function Gradio will call
 def analyze_sentiment(text):
-    """
-    Takes input text and returns the
-    predicted label and confidence.
-    """
-    result = sentiment(text)[0]
-    label = result["label"]
-    score = result["score"]
-    return {"label": label, "confidence": f"{score:.2f}"}
+    if not text:
+        return "No input", 0
+    try:
+        result = classifier(text)[0]  # should return a dict
+        label = result.get('label', 'Unknown')
+        score = round(result.get('score', 0), 3)
+        return label, score
+    except Exception as e:
+        return f"Error: {str(e)}", 0
 
-# 3. Build Gradio interface
+# Define the Gradio Interface
 iface = gr.Interface(
     fn=analyze_sentiment,
-    inputs=gr.Textbox(lines=4, placeholder="Enter some text..."),
+    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
     outputs=[
-        gr.Label(num_top_classes=2, label="Sentiment"),
-        gr.Textbox(label="Confidence")
+        gr.Textbox(label="Sentiment"), 
+        gr.Number(label="Confidence Score")
     ],
-    title="🤗 Sentiment Analyzer",
-    description="Enter text and get back its sentiment (POSITIVE/NEGATIVE) with confidence score."
+    title="Sentiment Analyzer",
+    description="Enter a sentence to get its sentiment (POSITIVE/NEGATIVE) and confidence score."
 )
 
-# 4. Launch app
-if __name__ == "__main__":
-    iface.launch()
+# Run the app
+iface.launch()