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Create LanguageTanslator.py
Browse files- LanguageTanslator.py +48 -0
LanguageTanslator.py
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import streamlit as st
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from transformers import MarianMTModel, MarianTokenizer
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def translate_text(text, src_lang, tgt_lang):
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model_name = f'Helsinki-NLP/opus-mt-{src_lang}-{tgt_lang}'
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model = MarianMTModel.from_pretrained(model_name)
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tokenizer = MarianTokenizer.from_pretrained(model_name)
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translated = model.generate(**tokenizer(text, return_tensors="pt", padding=True))
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translated_text = tokenizer.decode(translated[0], skip_special_tokens=True)
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return translated_text
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def main():
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st.title("Language Translator App")
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# Language options
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language_dict = {
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"English": "en",
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"French": "fr",
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"German": "de",
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"Spanish": "es",
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"Italian": "it",
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"Russian": "ru",
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"Chinese": "zh",
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"Japanese": "ja",
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"Korean": "ko",
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"Arabic": "ar",
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}
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src_lang = st.selectbox("Select Source Language", list(language_dict.keys()))
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tgt_lang = st.selectbox("Select Target Language", list(language_dict.keys()))
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# Text input
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text = st.text_area("Enter Text to Translate")
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# Translate button
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if st.button("Translate"):
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if text:
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translated_text = translate_text(text, language_dict[src_lang], language_dict[tgt_lang])
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st.write("Translated Text:")
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st.success(translated_text)
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else:
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st.warning("Please enter text to translate.")
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if __name__ == "__main__":
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main()
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