Update app.py

app.py

@@ -1,7 +1,42 @@
+
+
 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")
 
-x = st.slider('Select a value')
+for p in predictions:
 
-st.write(x, 'squared is', x * x)
+col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")