Spaces:
Sleeping
Sleeping
import gradio as gr | |
from transformers import pipeline | |
pipeline = pipeline("image-classification", model="jhoppanne/SkinCancerClassifier_smote-V0") | |
def predict(input_img): | |
pred = pipeline(input_img) | |
labels = ['Benign','Indeterminate','Malignant'] | |
label_id = int(pred[0]['label']) | |
label = labels[label_id] | |
score = pred[0]['score'] | |
answer = f'We predict that you have {label} type of skin cancer,\nwith confidence score of : {score*100:.2f}%' | |
return answer | |
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() |