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import gradio as gr | |
from transformers import pipeline | |
pipeline = pipeline("image-classification", model="jhoppanne/SkinCancerClassifier_Plain-V0") | |
def predict(input_img): | |
predictions = pipeline(input_img) | |
return predictions | |
gradio_app = gr.Interface( | |
predict, | |
inputs=gr.Image(label="Input Skin Image", sources=['upload', 'webcam'], type="pil"), | |
outputs="text", | |
title="How severe is my Skin Cancer?", | |
) | |
if __name__ == "__main__": | |
gradio_app.launch() |