Update

app.py

@@ -1,6 +1,6 @@
 __all__ = ['is_cat', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
 
-from fastai.vision.all import *
+from fastai.vision.all import load_learner
 import gradio as gr
 
 def is_cat(x): return x[0].isupper()
@@ -13,8 +13,8 @@ def classify_image(img):
     pred, idx, probs = learn.predict(img)
     return dict(zip(categories, map(float, probs)))
 
-image = gr.inputs.Image(shape=(192,192))
-label = gr.outputs.label()
+image = gr.components.Image(shape=(192,192))
+label = gr.components.label()
 
 examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
 

requirements.txt

@@ -1,2 +1 @@
-gradio==3.50
 fastai