App.py

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+
+learn = load_learner('model.pkl')
+
+categories = ('Grizzly','Black','Toy','White','Brown')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+image = gr.Image(sources="upload")
+label = gr.Label()
+examples = ['black.jpg','brown.jpg','grizzly.jpeg','toy.jpeg','./Imgs/white.jpg']
+
+intf = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
+intf.launch(inline=False,share=True)
+