app.py

import gradio as gr
from transformers import pipeline

pipe = pipeline("text-classification", model="Newtral/xlm-r-finetuned-toxic-political-tweets-es")

def predict(text):
    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(placeholder="Paste a tweet here", label="Tweet text", lines=5), 
                         gr.outputs.Label(num_top_classes=2, label="This tweet is..."), 
                         capture_session=True, interpretation=None,
                         title="Is your favorite Spanish politician toxic on Twitter? Test it here!",
                         description="Paste a tweet text from a Spanish politician in the textbox below. We will predict its degree of toxicity in 2 scales of severity. Made with <3 by Newtral-Tech.",
                         theme="darkgrass")

interface.launch()