app.py

import streamlit as st
from transformers import pipeline

# Initialize the translation pipeline from Hugging Face
@st.cache_resource
def load_translation_model():
    return pipeline("translation_en_to_ur", model="Helsinki-NLP/opus-mt-en-ur")

translator = load_translation_model()

# Streamlit app layout
st.title("English to Urdu Translator")

# Input text in English
english_text = st.text_area("Enter English text", placeholder="Type something in English...", height=150)

# Translate button
if st.button("Translate to Urdu"):
    if english_text.strip() != "":
        translation = translator(english_text)
        urdu_text = translation[0]['translation_text']
        st.write("### Translated Text in Urdu:")
        st.write(urdu_text)
    else:
        st.warning("Please enter some text to translate!")