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| import streamlit as st | |
| import time | |
| from transformers import pepeline | |
| st.title("Traductor multilenguaje") | |
| translation_models = { | |
| "English to German": "Helsinki-NLP/opus-mt-en-de", | |
| "German to English": "Helsinki-NLP/opus-mt-de-en", | |
| "English to French": "Helsinki-NLP/opus-mt-en-fr", | |
| "French to English": "Helsinki-NLP/opus-mt-fr-en", | |
| "English to Urdu": "Helsinki-NLP/opus-mt-en-ur", | |
| "Urdu to English": "Helsinki-NLP/opus-mt-ur-en", | |
| "English to Spanish": "Helsinki-NLP/opus-mt-en-es", | |
| "Spanish to English": "Helsinki-NLP/opus-mt-es-en", | |
| "English to Chinese": "Helsinki-NLP/opus-mt-en-zh", | |
| "Chinese to English": "Helsinki-NLP/opus-mt-zh-en", | |
| } | |
| idiomaseleccionado = st.selectbox("Idiomas:" , list(translation_models.keys())) | |
| traductor = pipeline(task="translation", model= translation_models[idiomaseleccionado]) | |
| textoingresado = st.text_area("Ingrese el texto a traducir:","") | |
| if st.button("Traducir"): | |
| with st.spinner("Traduciendo..."): | |
| time.sleep(2) | |
| if user_input: | |
| textotraducido= traductor(user_input, max_length=500)[0]["textotraducido"] | |
| st.succes("Texto Traducido:" {textotraducido}) | |
| else: | |
| st.warning("Ingrese un texto") | |
| if st.button("Limpiar"): | |
| textoingresado="" | |
| st.empty() | |