Update app.py

app.py

@@ -1,33 +1,20 @@
 import streamlit as st
-
-
 from transformers import pipeline
-
 from PIL import Image
 
-
-
 pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
 
-
-
 st.title("AIMLJan24 First App on Hugging face - Hot Dog? Or Not?")
 
-
-
 file_name = st.file_uploader("Upload the test image to find is this hot dog ! ")
 
-
-
 if file_name is not None:
-
     col1, col2 = st.columns(2)
-    image = Image.open(file_name)
-
-col1.image(image, use_column_width=True)
-predictions = pipeline(image)
-col2.header("Probabilities")
 
-for p in predictions:
-
-    col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")
+    image = Image.open(file_name)
+    col1.image(image, use_column_width=True)
+    predictions = pipeline(image)
+    
+    col2.header("Probabilities")
+    for p in predictions:
+        col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")