Create app.py

app.py

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+from fastai.vision.all import load_learner
+import gradio as gr
+labels=(
+    'African people picture',
+    'British people picture',
+    'East Asain  people picture',
+    'Eskimo people picture',
+    'European people picture',
+    'Indigenous American people picture',
+    'Indigenous Australians people picture',
+    'Indigenous people picture',
+    'Negrito people picture',
+    'Semitic people picture'
+)
+model=load_learner(f'humanRace-v11.pkl')
+def recognize_image(image):
+  pred, idx, probs=model.predict(image)
+  print(pred)
+  return dict(zip(labels, map(float, probs)))
+
+image = gr.inputs.Image(image_mode="RGB")
+label=gr.outputs.Label()
+example=['th(11).jpeg']
+iface = gr.Interface(fn=recognize_image, inputs=image, outputs=label,examples=example )
+iface.launch(inline=False, share=True)
+