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import streamlit as st
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
# Function to load the translation model
@st.cache_resource
def load_model(model_name):
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
return tokenizer, model
# Function to perform translation
def translate_text(tokenizer, model, input_text, src_lang, tgt_lang):
# Format the input text for the model
input_text = f">>{tgt_lang}<< {input_text}" # Add language token
inputs = tokenizer(input_text, return_tensors="pt", padding=True, truncation=True, max_length=512)
outputs = model.generate(**inputs, max_length=512)
translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
return translated_text
# Streamlit app
def main():
st.title("Language Translation App")
st.markdown("Translate text between multiple languages using open-source models.")
# Language options (expand as needed)
languages = {
"English": "en",
"French": "fr",
"German": "de",
"Spanish": "es",
"Chinese": "zh",
"Arabic": "ar",
"Hindi": "hi",
"Urdu": "ur",
"Russian": "ru",
"Japanese": "ja",
}
# Sidebar for language selection
st.sidebar.header("Settings")
src_lang = st.sidebar.selectbox("Select Input Language", options=languages.keys())
tgt_lang = st.sidebar.selectbox("Select Output Language", options=languages.keys())
# Input text
text_to_translate = st.text_area("Enter text to translate", height=150)
# Load model and tokenizer
model_name = "Helsinki-NLP/opus-mt-mul-en" # Multi-lingual to English model
tokenizer, model = load_model(model_name)
# Translate button
if st.button("Translate"):
if text_to_translate.strip() == "":
st.error("Please enter some text to translate.")
elif src_lang == tgt_lang:
st.warning("Input and output languages are the same. Please select different languages.")
else:
# Perform translation
st.spinner("Translating...")
translated_text = translate_text(tokenizer, model, text_to_translate, languages[src_lang], languages[tgt_lang])
st.success("Translation Complete!")
st.text_area("Translated Text", translated_text, height=150)
if __name__ == "__main__":
main()
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