Update app.py

app.py

@@ -1,19 +1,13 @@
-#|export
-%pip install gradio
-%pip install fastai
 from fastai.vision.all import *
 import gradio as gr
 
 learn = load_learner('model.pkl')
 categories = ('chickenpox', 'cowpox', 'healthy', 'measles', 'monkeypox', 'smallpox')
+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))}
 
-def classify_image(img):
-    pred,idx,probs = learn.predict(img)
-    return dict(zip(categories, map(float, probs)))
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)
 
-image = gr.inputs.Image(shape=(192,192))
-label = gr.outputs.Label()
-examples = ['ch_0001.jpg', 'co_0001.jpg', 'he_0001.jpg', 'mo_0001.jpg', 'sm_0001.jpg']
-
-intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
-intf.launch(inline=False)