initial commit, added app.py and requirements.txt

app.py

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+import gradio as gr
+import skimage
+from fastai.vision.all import *
+
+path = Path()
+learn = load_learner('model.pkl')
+
+labels = learn.dls.vocab # read labels from Data Loader
+def predict(img):
+    pred,pred_idx,probs = learn.predict(img) # use passed image for prediction
+    return {labels[i]: float(probs[i]) for i in range(len(labels))} # return all results
+
+gradio_interface = gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3))
+gradio_interface.launch()
+
+#mean comment

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c4a7f061a8780501bcfd7000b5cb3a17d5be6da4799acdeeb7166695b3c870d4
+size 46950105

requirements.txt

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+fastai
+scikit-image