Spaces:
Sleeping
Sleeping
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) | |