Upload model pickle file and updated app.py

app.py

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+from fastai.vision.all import * 
+import gradio as gr
+
+learn = load_learner('model.pkl')
+
+categories = learn.dls.vocab
+
+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()
+
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label)
+iface.launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:11c72d06465d10943b1a951f1aa0b499a3caacf84d8555f202eff8f9c5e59c14
+size 46967457