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Binarymodel.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:06b63339567e5909decdf8b55eeea78059758dbaa0ccb483e05cd172896323fe
+size 87504287

README.md

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 ---
-title: Binary
-emoji: 💻
-colorFrom: red
-colorTo: blue
+title: SalmanAboAraj
+emoji: 🏃
+colorFrom: indigo
+colorTo: purple
 sdk: gradio
 sdk_version: 3.35.2
 app_file: 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('Binarymodel.pkl')
+
+# %% app.ipynb 3
+categories=('Random','X_ray')
+
+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.jpg','10.jpg','2.jpeg','9.jpg','3.jpg','4.jpg','5.jpg','6.png','7.jpg',
+'8.jpeg','9.jpg','b.jpg','d.jpg','f.jpg','e.jpg']
+
+
+interface=gr.Interface(fn=classify_image, inputs=image ,outputs=label,examples=examples)
+interface.launch(inline=False)

gitattributes.txt

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requirements.txt

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+fastbook
+fastai
+torch