Create app.py

app.py

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+!pip install -Uqq fastai
+!pip install gradio
+!pip install nbdev
+from fastai.vision.all import *
+import gradio as gr
+import nbdev
+
+learn = load_learner('fast-food-model.pkl')
+
+categories = ('Baked Potato', 'Burger', 'Crispy Chicken', 'Donut', 'Fries','Hot Dog','Pizza','Sandwich','Taco','Taquito')
+def classify_image (image):
+    pred,idx,prob = learn.predict(image)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.inputs(Image(shape=(192, 192)))
+labels = gr.outputs.Label()
+
+intf = gr.Interface(fn = classify_image, inputs = image, outputs = labels)
+intf.launch(inline = False)
+