Update app.py

app.py

@@ -82,12 +82,12 @@ with gr.Blocks() as demo:
                 gr.Markdown("""### None""")
                 none_checkbox_output = gr.CheckboxGroup(label="Select ONLY incorrect classifications", interactive=True) 
 
-        model_confidence = gr.Number(label="Model Confidence")
+        # model_confidence = gr.Number(label="Model Confidence")
         predict_button.click(load_and_analyze_csv, inputs=[file_input, text_field, event_model], 
                              outputs=[flood_checkbox_output, fire_checkbox_output, none_checkbox_output, model_confidence])
 
         with gr.Row(equal_height=True):
-            with gr.Column(scale=6):
+            with gr.Column(scale=5):
                 gr.Markdown(r"""
                 Accuracy: is the model's ability to make correct predicitons.
                 It is the fraction of correct prediction out of the total predictions.
@@ -97,7 +97,8 @@ with gr.Blocks() as demo:
                 Model Confidence: is the mean probabilty of each case 
                 belonging to their assigned classes. A value of 1 is best.
                 """, latex_delimiters=[{ "left": "$", "right": "$", "display": True }])
-            with gr.Column(scale=4):
+                model_confidence = gr.Number(label="Model Confidence")
+            with gr.Column(scale=5):
                 correct = gr.Number(label="Number of correct classifications", value=0)
                 incorrect = gr.Number(label="Number of incorrect classifications", value=0)
                 accuracy = gr.Number(label="Model Accuracy", value=0)