Create app.py

app.py

@@ -0,0 +1,17 @@
+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner('export.pkl')
+
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+    
+gr.Interface(
+    fn=predict,
+    inputs=gr.inputs.Image(share=(512,512)),
+    outputs=gr.outputs.Label(num_top_classes=3)
+).launch(share=True)