Create app.py

app.py

@@ -0,0 +1,14 @@
+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('model.pkl')
+
+def predict(img):
+    # fill in: call learn.predict(), build the dict for Gradio's Label output
+    pass
+
+gr.Interface(
+    fn=predict,
+    inputs=gr.Image(type='pil'),
+    outputs=gr.Label(num_top_classes=3)
+).launch()