Create app.py

app.py

@@ -0,0 +1,14 @@
+#/export
+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('tta_res.pkl')
+categories = ('primary', 'clear', 'agriculture', 'road', 'water', 'partly_cloudly', 'cultivation', 'habitation', 'haze', 'cloudy', 'bare_ground', 'selective_logging', 'artisinal_mine', 'blooming', 'slash_burn', 'blow_down', 'conventional_mine')
+def classify_image(img):
+  pred, idx, probs = learn.predict(img)
+  return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
+intf.launch(inline=False)