add requirements.txt

app.py

@@ -9,10 +9,12 @@ def is_cat(x): return x[0].isupper()
 learn = from_pretrained_fastai('akaigraham/cat-classifier')
 categories = ('Dog', 'Cat')
 
+# classify image function
 def classify_image(img):
     pred,idx,probs = learn.predict(img)
     return dict(zip(categories, map(float, probs)))
 
+## set up gradio
 image = gr.inputs.Image(shape=(192,192))
 label = gr.outputs.Label()
 examples = ['dog.jpg', 'cat.jpg']