I'll enhance the application with better error handling, input validation, and a simple frontend interface. Here's the improved version: from flask import Flask, request, jsonify, render_template from transformers import MarianMTModel, MarianTokenizer import os app = Flask(__name__) # Load pre-trained model and tokenizer model_name = "Helsinki-NLP/opus-mt-en-ar" try: tokenizer = MarianTokenizer.from_pretrained(model_name) model = MarianMTModel.from_pretrained(model_name) MODEL_LOADED = True except Exception as e: MODEL_LOADED = False print(f"Failed to load model: {str(e)}") @app.route('/') def index(): return render_template('index.html') @app.route('/translate', methods=['POST']) def translate(): if not MODEL_LOADED: return jsonify({'error': 'Translation model not available'}), 503 try: data = request.get_json() if not data or 'text' not in data: return jsonify({'error': 'Invalid request format'}), 400 english_text = data['text'].strip() if not english_text: return jsonify({'error': 'No text provided'}), 400 if len(english_text) > 1000: return jsonify({'error': 'Text too long (max 1000 characters)'}), 400 # Tokenize and translate batch = tokenizer([english_text], return_tensors="pt", truncation=True) gen = model.generate(**batch) arabic_text = tokenizer.batch_decode(gen, skip_special_tokens=True)[0] return jsonify({ 'status': 'success', 'english': english_text, 'arabic': arabic_text }) except Exception as e: return jsonify({'error': f'Translation error: {str(e)}'}), 500 if __name__ == '__main__': app.run(host='0.0.0.0', port=5000, debug=False) English to Arabic Translator

English to Arabic Translator

Translation Result:

@echo off set FLASK_APP=app.py set FLASK_ENV=production python -m flask run --host=0.0.0.0 --port=5000