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