app.py

import gradio as gr
from transformers import pipeline

pipe = pipeline(
    task="text-classification",
    model="TostAI/nsfw-text-detection-large",
    return_all_scores=True
)

def predict(input_txt):
    predictions = pipe(input_txt)[0]  # Get first (and only) result
    label_map = {
        'LABEL_0': 'SAFE',
        'LABEL_1': 'QUESTIONABLE',
        'LABEL_2': 'UNSAFE'
    }
    # Convert list of dicts to a single dict
    result = {label_map[pred['label']]: pred['score'] for pred in predictions}
    return result

gradio_app = gr.Interface(
    predict,
    inputs=gr.Textbox(label="Input text"),
    outputs=gr.Label(label="Result"),
    title="NSFW Prediction",
)

if __name__ == "__main__":
    gradio_app.launch()