Update app.py

app.py

@@ -92,15 +92,14 @@ with gr.Blocks() as demo:
                 Accuracy: is the model's ability to make correct predicitons.
                 It is the fraction of correct prediction out of the total predictions.
                 
-                $
+                $$
                 \text{Accuracy} = \frac{\text{Correct predictions}}{\text{All predictions}} * 100
-                $
+                $$
                 
                 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 }])
+                """, latex_delimiters=[{ "left": "$$", "right": "$$", "display": True }])
+                gr.Markdown("\n\n\n")
                 model_confidence = gr.Number(label="Model Confidence")
             with gr.Column(scale=5):
                 correct = gr.Number(label="Number of correct classifications", value=0)