Update app.py

app.py

@@ -76,10 +76,12 @@ with col1:
 with col2:
     st.header('gibs')
     images = []
+    imagesForOpen = []
     for cropped in glob.glob('/tmp/cropped_image_*'):
         with open(cropped, "rb") as image:
             encoded = base64.b64encode(image.read()).decode()
             images.append(f"data:image/jpeg;base64,{encoded}")
+            imagesForOpen.append(image)
     clicked = clickable_images(
         images,
         titles=[f"Image #{str(i)}" for i in range(totalGibs)],
@@ -88,8 +90,17 @@ with col2:
         key="cropped_images"
     )
 
+with col3:
+    st.header('details')
     if gibsOk:
         detectorForContents = pipeline("object-detection", model="sergioska/yolo-finetuned-flyers-content")
+        imageForDetails = Image.open(imagesForOpen[0])
+        outputImageForDetails = np.array(imageForDetails)
+        predictions = detectorForContents(
+            imageForDetails,
+            candidate_labels=['product']
+        )
+        st.write(predictions)
         
 
     st.markdown(f"Image #{clicked} clicked" if clicked > -1 else "No image clicked")