1. "Lambda" Source Code

"Lambda" is a multi-modal AI assistant application based on a local large language model (LLM), featuring the following capabilities:

• Basic chat functionality
• Specific online search functionality
• Image recognition functionality
• Nutritional and dietary recommendation functionality

1.1 Back End

1.1.1 Ollama Download and Model Deployment

The language model used in this project (gemma:2b) is deployed on Ollama. Follow the steps below to install and start the model:

• Visit the Ollama download page to download and install Ollama.

• Ensure that Ollama is running on port 11434 on your local machine.

• Start the LLM model using the following command:

  ollama run gemma2:2b

1.1.2 Django Back End Startup

This project uses the Django framework for the back end, which is tested on Windows (other systems are untested). Make sure the back end is running before starting the front end. Follow these steps to start the back end:

• Ensure that the Python version in your Conda environment is at least 3.10, and that the current directory is set to ../djangoProject.

• Install the dependencies:

  pip install -r requirements.txt

• Start the Django development server:

  python manage.py runserver

• If the terminal displays the following output, the back end has started successfully:

  System check identified no issues (0 silenced).
  December 03, 2024 - 19:33:36
  Django version 5.1.1, using settings 'djangoProject.settings'
  Starting development server at http://127.0.0.1:8000/
  Quit the server with CTRL-BREAK.

1.2 Front End

The front end is developed using Node.js, Vue 3, and Element Plus. Ensure that the back end services (Django and Ollama) are running before starting the front end. Follow these steps to start the front end:

• Make sure Node.js is installed. You can check by running the following commands:

  node -v
  npm -v

• Navigate to the front end project directory (../SoftwareEngineer) and install the dependencies:

  npm install

• Start the Vue development server:

  npm run dev

• If the terminal displays the following message, Vue.js has been successfully started:

  > lambda@0.0.0 dev
  > vite
  
  The CJS build of Vite's Node API is deprecated. See https://vitejs.dev/guide/troubleshooting.html#vite-cjs-node-api-deprecated for more details.
  
  VITE v5.4.8 ready in 733 ms
  
  ➜  Local:   http://localhost:5173/
  ➜  Network: use --host to expose
  ➜  press h + enter to show help

• Start the Electron application window:

  npm start

• If the application window appears, the front end has started successfully.

2. Executable File Usage

• You can find the Lambda Setup.exe installation package after packaging the front end. Double-click the file and follow the installation wizard.
• After installation, follow the steps in the 1.1 Back End section to start the back end services.