dog cat classifier app

app.py

@@ -1,7 +1,29 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../02_prod.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'intrf', 'is_cat', 'classify_image']
+
+# %% ../02_prod.ipynb 47
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!!"
+# %% ../02_prod.ipynb 48
+def is_cat(x): return x[0].isupper()
+
+# %% ../02_prod.ipynb 49
+learn = load_learner('model.pkl')
+
+# %% ../02_prod.ipynb 50
+categories = 'Dog', 'Cat'
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+
+# %% ../02_prod.ipynb 51
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+intrf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
+intrf.launch(inline=False)