app.py

import streamlit as st
from transformers import pipeline

# Title of the app
st.title("🌐 Language Translator")

# Load translation pipeline
@st.cache_resource
def load_translation_pipeline(language_code):
    model_name = f"Helsinki-NLP/opus-mt-en-{language_code}"
    return pipeline("translation", model=model_name)

# Input text
text_to_translate = st.text_area("Enter text in English to translate:")

# Target language selection
languages = {
    "German": "de",
    "French": "fr",
    "Spanish": "es",
    "Italian": "it",
    "Chinese": "zh",
    "Hindi": "hi",
}
target_language = st.selectbox("Select target language:", options=list(languages.keys()))

# Translation action
if st.button("Translate"):
    if not text_to_translate.strip():
        st.warning("Please enter some text to translate.")
    else:
        # Get the language code for the selected target language
        language_code = languages[target_language]
        
        # Load the translation model
        translator = load_translation_pipeline(language_code)
        
        # Perform translation
        with st.spinner("Translating..."):
            try:
                result = translator(text_to_translate)[0]['translation_text']
                st.success("Translated Text:")
                st.write(result)
            except Exception as e:
                st.error(f"An error occurred: {e}")