Add application file

app.py

@@ -0,0 +1,32 @@
+# 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('tumorClassifier.pkl')
+
+# %% app.ipynb 3
+categories=('Glioma','Meningioma','Pituitary tumor')
+
+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=['imagesExample/1.jpeg', 'imagesExample/2.jpg', 'imagesExample/3.png','imagesExample/a.jpg','imagesExample/b.jpg'
+,'imagesExample/c.jpg','imagesExample/d.jpg','imagesExample/e.jpg','imagesExample/f.jpg']
+
+interface=gr.Interface(fn=classify_image, inputs=image ,outputs=label,examples=examples)
+interface.launch(inline=False)

tumorClassifier.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7c19c21766e1c4fd9b8e89cbc0d38ac9e19c3538b2e857120ad8302e96170b17
+size 87534833