| import gradio as gr | |
| from transformers import pipeline | |
| from presentation import main_title, examples | |
| model = 'hackathon-pln-es/Detect-Acoso-Twitter-Es' | |
| def classify(text): | |
| cls= pipeline("text-classification", model=model) | |
| return cls(text)[0]['label'] | |
| gr.Interface(fn=classify, inputs=["textbox"], outputs="text", examples=examples).launch(debug=True) | |