Upload app.py

app.py

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+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner('export.pkl')
+
+categories = ('0', '1', '2', '3', '4', '5', '6', '7', '8', '9')
+
+def classify_image(img):
+  pred,idx,probs = learn.predict(img)
+  return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(100,100))
+label = gr.outputs.Label()
+title = "Sign Language Digit Classifier"
+description = "A sign language digit classifier trained on a Kaggle dataset with fastai. Created as a demo for fast.ai Part 1 v5 (2022)."
+examples = ['7.jpg','8.jpg','OK.jpg']
+interpretation='default'
+enable_queue=True
+
+gr.Interface(fn=classify_image,inputs=gr.inputs.Image(shape=(100, 100)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,examples=examples).launch()