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app.py

@@ -1,7 +1,14 @@
+
+from fastai.vision.all import *
+import skimage
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner(path/'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))}
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+gr.Interface(fn=predict, inputs=gr.Image(), outputs=gr.Label(num_top_classes=3)).launch(share=True)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5dc46dedf4b69a64d4547cfdc215d98df98ada168f7647af79c02b56cf82efc1
+size 47061419