app.py

import gradio as gr
from transformers import pipeline

RACISM_MODEL = "davidmasip/racism"
racism_analysis_pipe = pipeline("text-classification",
                                model=RACISM_MODEL, tokenizer=RACISM_MODEL)


def racism_analysis(text):
    results = racism_analysis_pipe(text)
    return results[0]["label"], round(results[0]["score"], 5)


gradio_ui = gr.Interface(
    fn=racism_analysis,
    title="Racism Detector (Spanish)",
    description="Enter some text and check if model detects bullying.",
    inputs=[
        gr.inputs.Textbox(lines=5, label="Paste some text here"),
    ],
    outputs=[
        gr.outputs.Textbox(label="Label"),
        gr.outputs.Textbox(label="Score"),
    ],
    examples=[
        ["Eres mas alto que un pino y mas tonto que un pepino!"],
        ["Que divertida"]
    ],
)

gradio_ui.launch()