Update app.py

app.py

@@ -47,15 +47,13 @@ model = keras.models.load_model(local_model_path)
 st.title("Fake Detection")
 st.divider()
 
-crop = st.toggle("Activate random crop")
-if crop:
-    st.write("random crop activated!")
-compress = st.toggle("Activate jpeg compression")
-if crop:
-    st.write("jpeg compression activated!")
+st.subheader("Image Preprocessing")
+crop = st.toggle("random crop")
+compress = st.toggle("jpeg compression")
 st.divider()
 
-binary = st.toggle("Activate binary classification")
+st.subheader("Classification")
+binary = st.toggle("binary classification")
 st.divider()
 
 file_name = st.file_uploader("Choose an image...")