Features

1. Volume Control: Adjust the system volume on Windows and Linux.
2. File Operations: Create and delete files in the current directory.
3. Conversational AI: Chat with the agent using natural language.

Installation

1. Clone the Repository:

2. Create and Activate a Virtual Environment (optional but recommended):

python -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install Dependencies:

pip install -r requirements.txt

4. Set Up Environment Variables:

Create a .env file in the root directory and add the necessary environment variables, such as:

LLM_MODEL=phi3

5. Install ollama and run command in cmd

ollama pull model_name

Run the Application:

1. Backend

python a.py

2. application

npm start

Example Commands:

1. Adjust Volume: Increase Volume: "Increase the volume" Decrease Volume: "Decrease the volume"
2. Create File: Create File: "Create file example.txt"
3. Delete File: Delete File: "Delete file example.txt"

Run Ollama Server

ollama run <model>

Stop Ollama (Windows)

 Get-Process | Where-Object {$_.ProcessName -like '*ollama*'} | Stop-Process