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import streamlit as st
from transformers import MarianMTModel, MarianTokenizer
# Define language options
LANGUAGES = {
"Spanish": "es",
"French": "fr",
"German": "de",
"Italian": "it",
"Portuguese": "pt",
}
# Load translation model and tokenizer
model_name = "Helsinki-NLP/opus-mt-en-ROMANCE"
tokenizer = MarianTokenizer.from_pretrained(model_name)
model = MarianMTModel.from_pretrained(model_name)
def translate_text(text, target_language):
# Prepare the text for the model
translated = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
# Perform the translation
translated = model.generate(**translated, forced_bos_token_id=tokenizer.lang_code_to_id[target_language])
# Decode and return the translation
translated_text = tokenizer.decode(translated[0], skip_special_tokens=True)
return translated_text
# Streamlit app
st.title("Language Translator")
# User input
text_to_translate = st.text_area("Enter text in English:", "")
selected_language = st.selectbox("Select target language:", list(LANGUAGES.keys()))
if st.button("Translate"):
if text_to_translate:
target_language = LANGUAGES[selected_language]
translated_text = translate_text(text_to_translate, target_language)
st.write(f"Translated text ({selected_language}):")
st.write(translated_text)
else:
st.warning("Please enter text to translate.")
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