from transformers import pipeline
import gradio as gr

ner_pipeline = pipeline("ner", model="mrojas/spanish-disease-tagger")

examples = [
    "Paciente con hipertensión, diabetes mellitus II. Tiene mucho dolor de cabeza.",
]

def ner(text):
    output = ner_pipeline(text)
    return {"text": text, "entities": output}    

demo = gr.Interface(ner,
             gr.Textbox(placeholder="Ingrese oración aquí..."), 
             gr.HighlightedText(),
             examples=examples)

demo.launch()