import gradio as gr
import pickle
from transformers import pipeline

def load_model(selected_model):
    with open(selected_model, 'rb') as file:
        loaded_model = pickle.load(file)
    return loaded_model

encoder = {
    'negative': "Negativo",
    'neutral': "Neutro",
    'positive': "Positivo"
}

classifier = pipeline(task="zero-shot-classification", model="facebook/bart-large-mnli")

def analyze_sentiment(text):
    results = classifier(text, ["positive", "negative", "neutral"], multi_label=True)
    mx = max(results['scores'])
    ind = results['scores'].index(mx)
    result = results['labels'][ind]
    return encoder[result]

demo = gr.Interface(
    fn=analyze_sentiment,
    inputs="text",
    outputs="text",
    title="Análisis de Sentimientos"
)

demo.launch(share=True)