app.py

import gradio as gr
from transformers import MarianMTModel, MarianTokenizer

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

def translate(text):
    # Tokenize input text
    tokenized_text = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
    # Perform translation
    translated = model.generate(**tokenized_text)
    # Decode translated text
    return tokenizer.decode(translated[0], skip_special_tokens=True)

# Define Gradio interface
interface = gr.Interface(fn=translate, inputs="text", outputs="text", title="Dutch to English Translator", description="Translate Dutch text to English using Helsinki-NLP/opus-mt-nl-en.")

# Launch the interface
interface.launch()