Upload app.py

app.py

@@ -1,7 +1,30 @@
+__all__ = ['is_safe', 'learn', 'classify_image', 'categories', 'image', 'label', 'exampples', 'intf']
+
+# Cell
+
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Cell
+def is_safe(x): return x[0].isupper()
+
+# Cell
+learn = load_learner('model.pkl')
+
+# Cell
+categories = ('asphalt', 'grass', 'danger')
+
+def classify_image(img):
+  pred,idx,probs = learn.predict(img)
+  return dict(zip(categories, map(float,probs)))
+
+# Cell
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['img/asphalt_01.png', 'img/asphalt_10.png', 'img/danger_14.png', 'img/danger_16.png', 'img/grass_09.png', 'img/grass_17.png']
+
+# Cell
 
-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)