nb

.gitignore

@@ -0,0 +1,4 @@
+.ipynb_checkpoints/
+*.bak
+*.swp
+

app.py

@@ -1,19 +1,27 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: . (unless otherwise specified).
+
+__all__ = ['is_cat', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
+
+# Cell
 from fastai.vision.all import *
 import gradio as gr
 
 def is_cat(x): return x[0].isupper()
 
+# Cell
 learn = load_learner('model.pkl')
+
+# Cell
 categories = ('Dog', 'Cat')
 
 def classify_image(img):
     pred,idx,probs = learn.predict(img)
     return dict(zip(categories, map(float,probs)))
 
-image = gr.inputs.Image(shape=(192, 192))
+# Cell
+image = gr.inputs.Image(shape=(128, 128))
 label = gr.outputs.Label()
 examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
-intf.launch()
-
+intf.launch()