Spaces:
Sleeping
Sleeping
| import streamlit as st | |
| from transformers import T5Tokenizer, T5ForConditionalGeneration | |
| from pathlib import Path | |
| from pdfminer.high_level import extract_text | |
| def main(): | |
| st.title("PDF Translation") | |
| st.write("Upload a PDF file and we will translate the text inside to German and French.") | |
| # Upload the pdf | |
| uploaded_file = st.file_uploader("Upload a PDF file", type=["pdf"]) | |
| if uploaded_file is not None: | |
| # Extract text from pdf | |
| documents = extract_text(uploaded_file) | |
| tokenizer = T5Tokenizer.from_pretrained("t5-small") | |
| model = T5ForConditionalGeneration.from_pretrained("t5-small") | |
| # Define translation prefixes for each language | |
| translation_prefixes = { | |
| "german": "translate English to German: ", | |
| "french": "translate English to French: " | |
| } | |
| # Generate translations for each language for each document | |
| translations = {} | |
| # Buttons to trigger translation | |
| translate_german = st.button("Translate to German") | |
| translate_french = st.button("Translate to French") | |
| for language, prefix in translation_prefixes.items(): | |
| document_translations = [] | |
| for idx, document in enumerate(documents, 1): | |
| text = prefix + document.text | |
| input_ids = tokenizer(text, return_tensors="pt").input_ids | |
| outputs = model.generate(input_ids=input_ids, max_length=50, num_beams=4, no_repeat_ngram_size=2) | |
| translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| document_translations.append(translated_text) | |
| translations[language] = document_translations | |
| # Display the translations based on the button clicked | |
| if translate_german: | |
| display_translations(translations["german"], "German") | |
| if translate_french: | |
| display_translations(translations["french"], "French") | |
| def display_translations(translations, language): | |
| st.write(f"\nLanguage: {language}") | |
| for idx, translation in enumerate(translations, 1): | |
| st.write(f"Page {idx}: {translation}") | |
| if __name__ == "__main__": | |
| main() |