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Create app.py
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app.py
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import streamlit as st
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from transformers import pipeline
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# Caching the model to avoid reloading it multiple times
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@st.cache_resource
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def load_model():
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return pipeline("translation", model="facebook/mbart-large-50-many-to-many-mmt")
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# Load the translation pipeline
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pipe = load_model()
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# Define language codes
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language_codes = {
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"Bengali": "bn_IN",
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"Gujarati": "gu_IN",
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"Kannada": "kn_IN",
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"Telugu": "te_IN",
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"English": "en_XX"
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}
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# Streamlit app
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st.title("Multilingual Translation App")
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# Input text
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input_text = st.text_area("Enter text to translate:")
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# Language selection
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target_language = st.selectbox("Select target language:", options=list(language_codes.keys()))
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# Translation button
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if st.button("Translate"):
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if input_text:
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# Get the target language code
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tgt_lang = language_codes[target_language]
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# Perform translation
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translated_text = pipe(input_text, src_lang="en_XX", tgt_lang=tgt_lang)[0]['translation_text']
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# Display translated text
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st.subheader("Translated Text:")
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st.write(translated_text)
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else:
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st.write("Please enter text to translate.")
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