Create app.py

app.py

@@ -0,0 +1,14 @@
+from transformers import pipeline
+import streamlit as st
+from PIL import Image
+
+
+pipe = pipeline("image-classification", model="julien-c/hotdog-not-hotdog")
+
+
+uploaded_file = st.file_uploader("Choose a file")
+if uploaded_file is not None:
+    img = Image.open(uploaded_file)
+    st.image(img)
+    predictions = pipe(img)
+    st.write(predictions)