fixed requirements

app.py

@@ -1,29 +1,30 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: notebook.ipynb.
 
 # %% auto 0
 __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
 
-# %% notebook.ipynb 3
+# %% notebook.ipynb 4
 from fastai.vision.all import *
 import gradio as gr
 
 def is_cat(x): return x(0).isupper()
 
 
-# %% notebook.ipynb 5
+# %% notebook.ipynb 6
 learn = load_learner('model.pkl')
 
 
-# %% notebook.ipynb 8
+# %% notebook.ipynb 9
 categories = ('dog' , 'cat')
 
 def classify_image(img):
     pred, idx, probs= learn.predict(img)
     return dict(zip(categories, map(float,probs)))
 
-# %% notebook.ipynb 10
-image = gr.Image(192,192)
+# %% notebook.ipynb 11
+image = gr.Image(height=192, width= 192)
 label = gr.Label()
-examples = ('cat.jpeg', 'dog.jpeg', 'dunno.jpg')
+examples = ['cat.jpg', 'dog.jpeg', 'dunno.jpg']
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 intf.launch(inline=False)