add

__init__.py

@@ -0,0 +1 @@
+__version__ = "0.0.1"

app.py

@@ -1,7 +1,30 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../cat_classifier_deployment.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_img']
+
+# %% ../cat_classifier_deployment.ipynb 2
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper()
+
+
+# %% ../cat_classifier_deployment.ipynb 4
+learn = load_learner('model.pkl')
+
+# %% ../cat_classifier_deployment.ipynb 6
+categories = ('dog','Cat')
+
+def classify_img(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+
+# %% ../cat_classifier_deployment.ipynb 8
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples=['dog.jpeg','cat.jpeg']
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+intf = gr.Interface(fn=classify_img,inputs=image,outputs=label,examples=examples)
+intf.launch(inline=False)