Cat or Dog with model

app.py

@@ -1,7 +1,30 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_img']
+
+# %% app.ipynb 1
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper()
+
+# %% app.ipynb 3
+learn = load_learner("model.pkl")
+
+# %% app.ipynb 5
+categories = ("Dog", "Cat")
+
+def classify_img(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+
+# %% app.ipynb 7
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ["dog.jpeg", "cat.jpeg", "dunno.jpeg"]
+
+intf = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f6cc48bdecd4fed6f3dbede5e24ec0e8a62cef54d9606931724ffd5128799d09
+size 47060011