Update app.py

app.py

@@ -83,7 +83,12 @@ def classify_sentiment(text):
     processed_text = preprocess_text(text)
     vectorized_text = vectorization.transform([processed_text])
     prediction = logistic_model.predict(vectorized_text)[0]
-    return prediction
+    if prediction == 0:
+        return "Negative"
+    elif prediction == 1:
+        return "Neutral"
+    else:
+        return "Positive"
 
 # Input and output components for the interface
 inputs = gr.Textbox(lines=10, label="Enter the text you want to analyze:")