Machine Translation: English to French Model Deployment

This challenge involves deploying our English-to-French translation model using two different methods: Flask with Docker and Gradio. Below are step-by-step instructions for each approach.

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🚀 Flask & Docker Deployment

1️⃣ Clone the Repository

git clone (https://github.com/RamezCh/flask_machine_translation_eng_fr.git)
cd flask_machine_translation_eng_fr

2️⃣ Build and Run the Docker Container

docker build -t translation-app .
docker run -p 5000:5000 translation-app

3️⃣ Test with Postman

Once the container is running, send a POST request to test the translation:

Using Postman:

• URL: http://localhost:5000
• Method: POST
• Headers: Content-Type: application/json
• Body (JSON):

  {
    "text": "She is driving a truck."
  }

• Response:

  {
    "translated_text": "Elle conduit un camion."
  }

4️⃣ Using Flask

Go to http://127.0.0.1:5000/

Type what you want to translate

Hit Translate

You now have your French translation!

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🌐 Gradio Deployment

🔗 Access the Gradio Notebook

Click here to open the Google Colab notebook

📌 Why Use Gradio?

• No need for Flask or Docker
• Provides an interactive UI for testing translations
• Generates a public link for easy sharing