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App.py

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+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner("export.pkl")
+
+categories = ("Benign", "Malignant")
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.Image()
+label = gr.Label()
+examples = ['benign.jpg','malignant.jpg']
+title = 'Skin Cancer Predictor'
+description = 'This app predicts skin cancer. For reference only.'
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, title=title, description=description)
+intf.launch(inline=False)

Requirements.txt

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+fastai

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e782ff6d39d23f8636a030ac3f916296a29e3b2057b562cfe60090c1542365be
+size 47107006