creating the app

app.py

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+import gradio as gr
+from fastai.vision.all import * 
+
+def is_cat(x): return x[0].isupper()
+
+learn = load_learner("model.pkl")
+
+categories = ('Fresh', 'Half-fresh', 'Spoiled')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.Image(height=280, width=340, type='numpy')
+label = gr.Label()
+examples = ['fresh.jpg', 'semi-fresh.jpg', 'rotten meat.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

requirements.txt

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+fastai>=2.0.0