Update app.py

app.py

@@ -3,7 +3,10 @@
 import streamlit as st
 from transformers import pipeline
 from PIL import Image
+import time
 
+
+'Starting a long computation...'
 pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
 
 st.title("Hot Dog? Or Not?")
@@ -19,4 +22,19 @@ if file_name is not None:
 
     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)}%")
+
+
+# Add a placeholder
+latest_iteration = st.empty()
+bar = st.progress(0)
+
+for i in range(100):
+  # Update the progress bar with each iteration.
+  latest_iteration.text(f'Iteration {i+1}')
+  bar.progress(i + 1)
+  time.sleep(0.1)
+
+
+
+'...and now we\'re done!'