Upload app.py

app.py

@@ -0,0 +1,20 @@
+!import fastai
+import fastai
+from fastai.vision.all import*
+import gradio as gr
+
+def is_cat(x):returnx[0].isupper()
+
+learn=load_learner('my_export_HAM10000.pkl')
+
+categories=('akiec','bcc','bkl','df','mel','nv','vasc')
+
+def classify_img(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()
+example=['mel.jpg','akiec.jpg','vasc.jpg']
+intf=gr.Interface(fn=classify_img,inputs=image,outputs=label,examples=example)
+intf.launch(inline=False)