Create app.py

app.py

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+import platform
+import pathlib
+plt = platform.system()
+pathlib.WindowsPath = pathlib.PosixPath
+
+
+import requests
+
+
+# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'interface', 'classify_image']
+
+# %% app.ipynb 1
+from fastai.vision.all import *
+import PIL.Image
+PIL.Image.MAX_IMAGE_PIXELS = None
+from PIL import Image
+
+import gradio as gr
+
+# %% app.ipynb 2
+learn = load_learner('RetinalClassification.pkl')
+
+# %% app.ipynb 3
+categories=('cataract','diabetic_retinopathy','glaucoma','normal')
+
+def classify_image(img):
+    pred,indx,probs=learn.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+
+# %% app.ipynb 4
+image=gr.inputs.Image(shape=(512,512))
+label=gr.outputs.Label()
+examples=['1.jpeg','10.png','11.png','12.jpeg','13.jpeg','14.jpeg','15.jpeg','16.jpeg','17.jpeg',
+'18.jpeg','19.jpeg','2.jpeg','20.jpeg','21.jpg','22.jpg','23.jpg','3.jpeg','4.jpeg','5.jpeg',
+'6.png','7.png','8.png','9.png']
+
+
+interface=gr.Interface(fn=classify_image, inputs=image ,outputs=label)
+interface.launch(inline=False)