Update app.py

app.py

@@ -45,10 +45,12 @@ model = keras.models.load_model(local_model_path)
 
 
 st.title("Fake Detection")
+st.divider()
 
 crop = st.toggle("Activate random crop")
 compress = st.toggle("Activate jpeg compression")
 
+st.divider()
 file_name = st.file_uploader("Choose an image...")
 
 if file_name is not None:
@@ -69,4 +71,4 @@ if file_name is not None:
     
     col2.header("Probabilities")
     for idx,p in enumerate(predictions):
-        col2.subheader(f"{ models[idx] }: { round(p * 100, 2)}%")
+        col2.markdown(f"{ <strong>models[idx]</strong> }: { round(p * 100, 2)}%")