Translation_app / app.py
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import streamlit as st
from transformers import MarianMTModel, MarianTokenizer
# Load pre-trained model and tokenizer
model_name = 'Helsinki-NLP/opus-mt-ur-de'
model = MarianMTModel.from_pretrained(model_name)
tokenizer = MarianTokenizer.from_pretrained(model_name)
# Function to translate text
def translate_text(text, src_lang, tgt_lang):
# Tokenize input text
inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
# Translate and decode
translated = model.generate(**inputs)
translated_text = tokenizer.decode(translated[0], skip_special_tokens=True)
return translated_text
# Streamlit app layout
st.title("Real-Time Urdu to German Translation")
st.write("Enter Urdu text below, and the app will translate it into German.")
# Input text area for Urdu text
input_text = st.text_area("Urdu Text", "", height=200)
# Translate when the button is pressed
if st.button("Translate"):
if input_text:
# Translate the text
translated_text = translate_text(input_text, "ur", "de")
st.subheader("Translated German Text:")
st.write(translated_text)
else:
st.write("Please enter some Urdu text to translate.")