Getting_Started_with_Language_Models

Prerequisites

Before you begin, ensure you have the following:

1. Git: Install Git from its official website.
2. Docker: Install Docker from its official website.
3. Groq API Key: Log in to the Groq Console to generate a new API key.
4. Linux/MacOS: No extra setup needed.
5. Windows: Install WSL and enable Docker's WSL integration by following this guide.

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Step 1: Clone the Repository

Clone the GitHub repository to your local machine:

git clone https://github.com/Rakshanda3/Getting_Started_with_Language_Models.git

Step 2: Navigate to the Repository

Change to the cloned repository directory:

cd Getting_Started_with_Language_Models

Step 3: Pull the Latest Version

Update the repository to the latest version:

git pull origin main

Step 4: Modify Script Permissions

Enable execute permissions for the setup script:

chmod u+x docker_image_setup.sh

Step 5: Build and Run the Docker Container

⚠️ Warning: Ensure port 8888 is free. The script will automatically clean up this port if it's in use by stopping and removing any Docker container using it.

Run the setup script to build and start the Docker container:

docker build -t getting_started_with_language_models .

Step 6: Run the Docker Container

Run the Docker container and map the ports. This will allow you to access Jupyter Notebook at port 8888:

docker run -p 8888:8888 -v $(pwd):/usr/src/app getting_started_with_language_models

Step 7: Access the Jupyter Notebook

• Once the container starts, the terminal will display a URL (e.g., http://127.0.0.1) with a token.
• Copy and paste this URL into your browser to access the Jupyter Notebook interface.