File size: 2,826 Bytes
bf8d8c7 3c7757d bf8d8c7 bacc136 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 |
# Import necessary libraries
import streamlit as st
from transformers import MarianMTModel, MarianTokenizer
import torch
# Function to load the tokenizer and model for a given pair of languages
def load_model(src_lang, tgt_lang):
model_name = f"Helsinki-NLP/opus-mt-{src_lang}-{tgt_lang}"
tokenizer = MarianTokenizer.from_pretrained(model_name)
model = MarianMTModel.from_pretrained(model_name)
return tokenizer, model
# Function to translate text
def translate_text(tokenizer, model, text):
inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True, max_length=512)
with torch.no_grad():
translated = model.generate(**inputs)
result = tokenizer.decode(translated[0], skip_special_tokens=True)
return result
# Streamlit UI
st.title("\U0001F310 Multilingual Translation App")
st.write("Translate text between multiple languages using open-source models!")
# Extended Language options
language_pairs = {
"English to French": ("en", "fr"),
"French to English": ("fr", "en"),
"English to Spanish": ("en", "es"),
"Spanish to English": ("es", "en"),
"English to German": ("en", "de"),
"German to English": ("de", "en"),
"English to Italian": ("en", "it"),
"Italian to English": ("it", "en"),
"English to Portuguese": ("en", "pt"),
"Portuguese to English": ("pt", "en"),
"English to Russian": ("en", "ru"),
"Russian to English": ("ru", "en"),
"English to Chinese": ("en", "zh"),
"Chinese to English": ("zh", "en"),
"English to Japanese": ("en", "ja"),
"Japanese to English": ("ja", "en"),
"English to Dutch": ("en", "nl"),
"Dutch to English": ("nl", "en"),
"English to Arabic": ("en", "ar"),
"Arabic to English": ("ar", "en"),
"English to Hindi": ("en", "hi"),
"Hindi to English": ("hi", "en"),
"English to Korean": ("en", "ko"),
"Korean to English": ("ko", "en"),
"English to Urdu": ("en", "ur"),
"Urdu to English": ("ur", "en")
}
# Select the language pair
language_choice = st.selectbox("Select Language Pair", list(language_pairs.keys()))
src_lang, tgt_lang = language_pairs[language_choice]
# User input
text_input = st.text_area("Enter text to translate:")
# Translate button
if st.button("Translate"):
if text_input:
st.info("Translating... Please wait!")
try:
tokenizer, model = load_model(src_lang, tgt_lang)
translated_text = translate_text(tokenizer, model, text_input)
st.success("Translated Text:")
st.write(translated_text)
except Exception as e:
st.error(f"Error: {e}. Please ensure the model exists for the selected pair.")
else:
st.warning("Please enter some text to translate.")
# Footer
st.markdown("---")
st.markdown("AYA Weekend Hackathon.")
|