Added the model

app.py

@@ -1,7 +1,25 @@
+__all__ = ['is_cat', 'learn', 'classify image', 'categories', 'image', 'label', 'examples', 'intf']
+
+# cell
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+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)))
+
+# cell
+image = gr.inputs.Inage(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a7d535bce6d20380ae76ed97d6e457d37f4a9053c0c6f02ac9f9ed0160b68c23
+size 47061483

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+gradio