huggingspace - linux - upload

app.py

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+__all__ = ['is_sea','learn','classify_image','categories','image','label','examples','intf']
+
+from fastai.vision.all import *
+import gradio as gr
+import pathlib
+import platform
+
+def is_sea(x) : return x[0].isupper()
+
+# Check the platform
+plt = platform.system()
+
+# If the platform is Linux, redirect WindowsPath to PosixPath
+if plt == 'Linux':
+    pathlib.WindowsPath = pathlib.PosixPath
+
+learn = load_learner('export.pkl')
+
+categories = ('River', "Sea", "Stuffed")
+
+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()
+examples = ['images/seaotter.jpg' , 'images/riverotter.jpg' , 'images/stuffedotter.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image,outputs=label,examples=examples)
+intf.launch(inline=False)

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e10c6528e60ee2d78f1197ff60aad8c2989e969b49a6249911526b00b1558664
+size 46971454

requirements.txt

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+fastai
+gradio
+pathlib
+platform