Update app.py

app.py

@@ -5,10 +5,10 @@ pipeline = pipeline(task="image-classification", model="julienc/hotdog-not-hotd
 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)
 col2.header("Probabilities")
 for p in predictions:
-col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")
+ col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")