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| import streamlit as st | |
| # Set page config FIRST | |
| st.set_page_config(page_title="Translation App", page_icon="🌎") | |
| from transformers import MarianMTModel, MarianTokenizer | |
| # Language-specific model names | |
| MODEL_MAPPING = { | |
| "French": "Helsinki-NLP/opus-mt-en-fr", | |
| "German": "Helsinki-NLP/opus-mt-en-de", | |
| "Spanish": "Helsinki-NLP/opus-mt-en-es", | |
| "Italian": "Helsinki-NLP/opus-mt-en-it", | |
| "Chinese": "Helsinki-NLP/opus-mt-en-zh", | |
| "Arabic": "Helsinki-NLP/opus-mt-en-ar", | |
| "Hindi": "Helsinki-NLP/opus-mt-en-hi", | |
| "Urdu": "Helsinki-NLP/opus-mt-en-ur", | |
| "Russian": "Helsinki-NLP/opus-mt-en-ru", | |
| "Japanese": "Helsinki-NLP/opus-mt-en-ja", | |
| } | |
| def load_model(model_name): | |
| tokenizer = MarianTokenizer.from_pretrained(model_name) | |
| model = MarianMTModel.from_pretrained(model_name) | |
| return tokenizer, model | |
| # Streamlit app UI | |
| st.title("🌎 Multilingual Translation Application") | |
| st.write("Enter your question or information below and select target languages:") | |
| # Input text | |
| input_text = st.text_area("Your Question or Information", height=150) | |
| # Language selection | |
| selected_languages = st.multiselect("Select languages to translate into", list(MODEL_MAPPING.keys())) | |
| # Translate button | |
| if st.button("Translate"): | |
| if not input_text: | |
| st.warning("Please enter some text to translate.") | |
| elif not selected_languages: | |
| st.warning("Please select at least one language.") | |
| else: | |
| for lang in selected_languages: | |
| model_name = MODEL_MAPPING.get(lang) | |
| if model_name: | |
| try: | |
| # Load model for selected language | |
| tokenizer, model = load_model(model_name) | |
| # Perform translation | |
| translated = model.generate(**tokenizer(input_text, return_tensors="pt", padding=True)) | |
| output_text = tokenizer.decode(translated[0], skip_special_tokens=True) | |
| st.subheader(f"Translation in {lang}:") | |
| st.success(output_text) | |
| except Exception as e: | |
| st.error(f"Error translating to {lang}: {str(e)}") | |
| else: | |
| st.error(f"No model available for {lang}") | |