Display original image along with activation gradient overlay version

CLIP_Explainability/app.py

@@ -1,4 +1,4 @@
-from base64 import b64encode
+# from base64 import b64encode
 from io import BytesIO
 from math import ceil
 
@@ -430,7 +430,7 @@ def visualize_gradcam(image):
 
     header_cols = st.columns([80, 20], vertical_alignment="bottom")
     with header_cols[0]:
-        st.title("Image + query details")
+        st.title("Image + query activation gradients")
     with header_cols[1]:
         if st.button("Close"):
             st.rerun()
@@ -457,6 +457,8 @@ def visualize_gradcam(image):
             st.session_state.search_field_value
         )
 
+    st.image(image)
+
     with st.spinner("Calculating..."):
         # info_text = st.text("Calculating activation regions...")