| from huggingface_hub import from_pretrained_fastai | |
| import gradio as gr | |
| from fastai.vision.all import * | |
| # repo_id = "YOUR_USERNAME/YOUR_LEARNER_NAME" | |
| repo_id = "joortif/P1_AP_Tobacco" | |
| learner = from_pretrained_fastai(repo_id) | |
| labels = learner.dls.vocab | |
| # Definimos una función que se encarga de llevar a cabo las predicciones | |
| def predict(img): | |
| #img = img.resize((128, 128)) | |
| pred,pred_idx,probs = learner.predict(img) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| # Creamos la interfaz y la lanzamos. | |
| gr.Interface(fn=predict, inputs=gr.Image(), outputs=gr.Label(num_top_classes=3),examples=['01190197_01190199.jpg','00834658_00834672.jpg']).launch(share=False) |