Update app.py

app.py

@@ -14,13 +14,17 @@ model = AutoModel.from_pretrained('dhhd255/parkinsons_pred0.1')
 # Move the model to the device
 model = model.to(device)
 
-# Add custom CSS to use the Inter font and define custom classes for healthy and parkinsons results
+# Add custom CSS to use the Inter font, define custom classes for healthy and parkinsons results, and increase the font size and make the text bold
 st.markdown("""
     <style>
         @import url('https://fonts.googleapis.com/css2?family=Inter&display=swap');
         body {
             font-family: 'Inter', sans-serif;
         }
+        .result {
+            font-size: 24px;
+            font-weight: bold;
+        }
         .healthy {
             color: #007E3F;
         }
@@ -60,6 +64,6 @@ if uploaded_file is not None:
         logits = feature_reducer(logits)
         predicted_class = torch.argmax(logits, dim=1).item()
         if(predicted_class == 0):
-            col2.markdown('<span class="parkinsons">Predicted class: Parkinson\'s</span>', unsafe_allow_html=True)
+            col2.markdown('<span class="result parkinsons">Predicted class: Parkinson\'s</span>', unsafe_allow_html=True)
         else:
-            col2.markdown('<span class="healthy">Predicted class: Healthy</span>', unsafe_allow_html=True)
+            col2.markdown('<span class="result healthy">Predicted class: Healthy</span>', unsafe_allow_html=True)