Update app.py

app.py

@@ -94,19 +94,18 @@ with gr.Blocks(css=".gradio-container { max-width: 900px; margin: auto; padding:
                 placeholder="Type your review here..."
             )
         
-        # Buttons placed together in a row
-        with gr.Row():
-            analyze_button = gr.Button("Analyze Sentiment", variant="primary")  # Blue button
-            clear_button = gr.ClearButton([text_input, gru_output, lstm_output, bilstm_output, statistics_output])  # Clear button
+    with gr.Row():
+        gru_output = gr.Textbox(label="Predicted Sentiment (GRU Model)", interactive=False)
+        lstm_output = gr.Textbox(label="Predicted Sentiment (LSTM Model)", interactive=False)
+        bilstm_output = gr.Textbox(label="Predicted Sentiment (BiLSTM Model)", interactive=False)
+    
+    with gr.Row():
+        statistics_output = gr.Textbox(label="Statistics (Lowest, Highest, Average)", interactive=False)
 
+    # Buttons placed together in a row
     with gr.Row():
-        with gr.Column():
-            gru_output = gr.Textbox(label="Predicted Sentiment (GRU Model)", interactive=False)
-            lstm_output = gr.Textbox(label="Predicted Sentiment (LSTM Model)", interactive=False)
-            bilstm_output = gr.Textbox(label="Predicted Sentiment (BiLSTM Model)", interactive=False)
-        
-        with gr.Column():
-            statistics_output = gr.Textbox(label="Statistics (Lowest, Highest, Average)", interactive=False)
+        analyze_button = gr.Button("Analyze Sentiment", variant="primary")  # Blue button
+        clear_button = gr.ClearButton([text_input, gru_output, lstm_output, bilstm_output, statistics_output])  # Clear button
 
     # Button to analyze sentiment and show statistics
     def process_input_and_analyze(text_input):