upload app

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.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['Benign1.jpg','Benign2.jpg','Benign3.jpg', 'Malignant1.jpg', 'Malignant2.jpg', 'Malignant3.jpg']
+title = 'Skin Cancer Predictor'
+description = 'This app predicts whether skin cancer is benign or malignant. For reference only.'
+article = "Author: <a href=\"https://huggingface.co/archietram\">Archie Tram</a>. "
+
+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 sha256:13bfd8d2000c9d5b2fe6240bc9f62624ec82b14388f5b526c7a586b67ebb14b4
+size 64621065

requirements.txt

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+fastai
+timm