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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() |