Initial gradio commit

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner('model.pkl')
+
+categories = ('F1', 'indy')
+
+def classify_image(img):
+    _,_,probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['F1.JPG', 'indy.jpg', 'rally.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(i:q!
+:qnline=False)