Update app.py

app.py

@@ -2,19 +2,19 @@ import streamlit as st
 from transformers import pipeline
 from PIL import Image
 
-pipeline = pipeline(task="image-classification", model="rwcuffney/autotrain-pick_a_card-3726099224")
+pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
 
 st.title("Hot Dog? Or Not?")
 
 file_name = st.file_uploader("Upload a hot dog candidate image")
 
 if file_name is not None:
-  col1, col2 = st.columns(2)
+    col1, col2 = st.columns(2)
 
-  image = Image.open(file_name)
-  col1.image(image, use_column_width=True)
-  predictions = pipeline(image)
+    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)}%")
+    col2.header("Probabilities")
+    for p in predictions:
+        col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")