app.py

import streamlit as st
from transformers import MarianMTModel, MarianTokenizer

# Title of the app
st.title('French to English Translator')

# Load the tokenizer and model
tokenizer = MarianTokenizer.from_pretrained('Helsinki-NLP/opus-mt-fr-en')
model = MarianMTModel.from_pretrained('Helsinki-NLP/opus-mt-fr-en')

# Text area for user input
user_input = st.text_area("Enter French text", "Bonjour le monde!")

# Function to translate text
def translate(text):
    # Tokenize the text
    inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True, max_length=512)
    # Generate translation outputs
    translated = model.generate(**inputs)
    # Decode the translated text
    translated_text = tokenizer.batch_decode(translated, skip_special_tokens=True)[0]
    return translated_text

# Button to perform translation
if st.button('Translate'):
    translation = translate(user_input)
    st.write('English Translation:', translation)