Update app.py

app.py

@@ -50,15 +50,14 @@ def test_model(text):
     preprocessed_text = ' '.join(filtered_text)
     
     # Vectorize the preprocessed text
-    vectorize_texts =vectorize_text([preprocessed_text])
+    vectorize_texts = vectorize_text([preprocessed_text])
    
     # Make prediction on the vectorized text
-    prediction = model.predict(vectorize_texts)[0]
+    prediction = model.predict(vectorize_texts[0])[0]
 
     # Return the prediction
     return prediction
 
 # Create the Gradio interface
 iface = gr.Interface(fn=test_model, inputs="text", outputs="text", title="Text Classification")
-iface.launch()
-
+iface.launch()