v1.0

app.py

@@ -1,7 +1,27 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../rabbit_or_hare_app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'catagories', 'image', 'label', 'examples', 'title', 'intf', 'classify_img']
+
+# %% ../rabbit_or_hare_app.ipynb 1
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# %% ../rabbit_or_hare_app.ipynb 2
+learn = load_learner('model.pkl')
+
+# %% ../rabbit_or_hare_app.ipynb 3
+catagories = ('Hare', 'Rabbit')
+
+def classify_img(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(catagories, map(float, probs)))
+
+# %% ../rabbit_or_hare_app.ipynb 4
+image = gr.Image()
+label = gr.Label()
+examples = ['bnuy.jpg', 'sam.jpg', 'aihare.jpg', 'aiwhare.jpg', 'aiwrabbit.jpg']
+title = "Rabbit or Hare?"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+intf = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples, title=title)
+intf.launch(inline=False, height=250)