Update app.py

app.py

@@ -51,12 +51,12 @@ def preprocessing(input_text, tokenizer):
             output = model(test_ids.to(device), token_type_ids = None, attention_mask = test_attention_mask.to(device))
             prediction = 'Spam' if np.argmax(output.logits.cpu().numpy()).flatten().item() == 1 else 'Normal'
             pred = 'Predicted Class: '+ prediction
-                return pred      
-            if text or aButton:
-                st.text_input("Enter the text you'd like to analyze for spam.")
-                st.button('Analyze') 
-                with col2:
-                    st.header(predict(text))
+            return pred      
+        if text or aButton:
+            st.text_input("Enter the text you'd like to analyze for spam.")
+            st.button('Analyze') 
+            with col2:
+                st.header(predict(text))