app.py

import gradio as gr
from transformers import pipeline

# Cargar el modelo
classifier = pipeline("text-classification", model="hafsa101010/clasificador-tweets-sentiment")

# Definir la interfaz
def classify_sentiment(text):
    result = classifier(text)[0]
    label_map = {
        "LABEL_0": "negative",
        "LABEL_1": "neutral",
        "LABEL_2": "positive"
    }
    return f"{label_map.get(result['label'], result['label'])} ({round(result['score']*100, 2)}%)"

demo = gr.Interface(fn=classify_sentiment, inputs="text", outputs="text", title="Clasificador de Sentimientos en Tweets")

demo.launch()