Deploy changes

app.py

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+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner('export.pkl')
+
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+title = "Face condition Analyzer"
+description = "A face condition detector trained on the custom dataset with fastai. Created using Gradio and HuggingFace Spaces."
+examples = ['harmonal_acne.jpg','forehead_wrinkles.jpg','oily_skin.jpg']
+enable_queue=True
+
+gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,
+             description=description,examples=examples,enable_queue=enable_queue).launch(share=True)

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c11839d95c5c2725689d33b22c5b61fd2de4f24e5d225e4d5a02fa1b6b286273
+size 103049429

requirements.txt.txt

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+fastai
+scikit-image