Update app.py

app.py

@@ -1,23 +1,19 @@
-__all__ = ['is_katy', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
-
-# Cell
 from fastai.vision.all import *
 import gradio as gr
 
-def is_katy(x): return x[0].isupper()
-
-# Cell
+# pretrained model
 learn = load_learner('model.pkl')
 
-# Cell
+# The categories
 categories = ('Katy', 'Zooey')
 
+# Define the prediction function
 def classify_image(img):
     pred, idx, probs = learn.predict(img)
-    return dict(zip(categories, map(float, probs)))
+    return {categories[i]: float(probs[i]) for i in range(len(categories))}
 
-# Cell
-image = gr.Image(type="pil", image_mode="RGB", tool="editor")
+# Gradio interface
+image = gr.Image(type="pil")
 label = gr.Label()
 examples = ['katy.jpg', 'katy2.jpg', 'zooey1.jpg', 'zooey2.jpg']