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from huggingface_hub import from_pretrained_fastai |
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import gradio as gr |
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from fastai.text.all import * |
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repo_id = "paascorb/practica8modelo" |
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learner = from_pretrained_fastai(repo_id) |
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labels = ["normal", "riesgo"] |
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def predict(txt): |
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pred,pred_idx,probs = learner.predict(txt) |
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return {labels[i]: float(probs[i]) for i in range(len(labels))} |
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gr.Interface(fn=predict, inputs=gr.Textbox(lines=2, placeholder="Escriba su texto aquí..."), outputs=gr.outputs.Label(num_top_classes=2), examples=['He vuelto a vomitar, me siento fatal, pero me veo muy gorda.']).launch(share=False) |
