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import gradio as gr | |
from transformers import pipeline | |
def predict(text): | |
pipe = pipeline("text-classification", model="Newtral/xlm-r-finetuned-toxic-political-tweets-es") | |
prediction = pipe(text, return_all_scores=True)[0] | |
return {"Toxic": prediction[0]["score"], "Very Toxic": prediction[1]["score"]} | |
interface = gr.Interface(predict, gr.inputs.Textbox(), gr.outputs.Label(num_top_classes=2), | |
capture_session=True, interpretation=None, | |
title="Is your favorite Spanish politician toxic on Twitter? Test it here!") | |
interface.launch() | |