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| import gradio as gr | |
| from transformers import pipeline | |
| classifier = pipeline("text-classification", model="pysentimiento/robertuito-sentiment-analysis") | |
| def text_to_sentiment(text): | |
| return {classifier(text)[0]["label"]: classifier(text)[0]["score"]} | |
| demo = gr.Blocks() | |
| with demo: | |
| with gr.Tabs(): | |
| with gr.TabItem("Análisis de sentimientos de textos en español"): | |
| with gr.Row(): | |
| texto = gr.Textbox() | |
| label = gr.Label(num_top_classes=1) | |
| b1 = gr.Button("Analizar") | |
| b1.click(text_to_sentiment, inputs=texto, outputs=label) | |
| demo.launch() |