Update app.py

app.py

@@ -26,17 +26,19 @@ def predict_sentiment(text):
     scores = output[0][0].detach().numpy()
     scores = softmax(scores)
 
-    # Get sentiment labels and scores (floating-point values)
+    # Get sentiment labels and scores
     ranking = np.argsort(scores)[::-1]
-    result = {config.id2label[ranking[i]]: float(scores[ranking[i]]) for i in range(scores.shape[0])}
+    output_text = "\n".join(
+        [f"{config.id2label[ranking[i]]}: {float(scores[ranking[i]])}" for i in range(scores.shape[0])]
+    )
     
-    return result
+    return output_text
 
 # Gradio Interface
 interface = gr.Interface(
     fn=predict_sentiment,
     inputs=gr.Textbox(lines=3, placeholder="Enter text..."),
-    outputs=gr.Label(num_top_classes=3),  # Display without JSON
+    outputs=gr.Textbox(),  # Display output as plain text
     title="Fine-Tuned Sentiment Analysis",
     description="Enter a sentence to analyze its sentiment (Positive, Neutral, Negative).",
 )