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| from transformers import pipeline | |
| pipe = pipeline("text-classification", model="jazbarr/jazbarr-toxicidad") | |
| def analizar_texto(texto): | |
| resultado = pipe(texto)[0] | |
| label = resultado['label'] | |
| score = resultado['score'] | |
| if label == 'LABEL_1': | |
| return f'This comment is toxic (score: {score})' | |
| else: | |
| return f'This comment is not toxic (score: {score}' | |
| import gradio as gr | |
| demo = gr.Interface( | |
| fn=analizar_texto, | |
| inputs=gr.Textbox(label='write a comment'), | |
| outputs=gr.Textbox(label='result') | |
| ) | |
| demo.launch() |