voice-controlled-AI-assistant

This Python script creates an AI assistant that listens to voice commands, processes them using OpenAI's GPT-3.5 for natural language understanding and generation, and provides text-based responses.

Requirements

OpenAI API key (set in the api_key variable) Python libraries: openai, playsound, gtts, speech_recognition

Setting Up Libraries in a Virtual Environment

To run this code in your own virtual environment, you'll need to set up the necessary Python libraries. Here's a step-by-step guide on how to do that

Create a Virtual Environment (Optional but Recommended)

You can create a virtual environment to isolate your project dependencies. This step is optional but recommended for managing library versions and avoiding conflicts with other Python projects.

# Create a virtual environment (replace 'my_env' with your preferred name)
python -m venv my_env

# Activate the virtual environment
source my_env/bin/activate  # On Linux/macOS
# OR
my_env\Scripts\activate    # On Windows

Once your virtual environment is active, you can install the required libraries using pip. Make sure you have the latest version of pip installed.

Install Required Libraries

pip install openai
pip install playsound
pip install gtts
pip install SpeechRecognition

This will install the OpenAI library, Playsound for audio playback, gTTS for text-to-speech, and SpeechRecognition for voice recognition.

API Key Setup

Set up your OpenAI API key by editing the api_key variable in your Python script with your actual API key

api_key = 'your_api_key_here'

you can get your API key by signing up for OpenAI's services on their website (https://openai.com/)

Additional Dependencies

Depending on your operating system, you might need additional dependencies for audio playback and microphone access. Make sure to install any system-specific requirements. For example, on Linux, you may need to install ALSA

sudo apt-get install alsa

Running the Code

With the virtual environment activated and the required libraries installed, you can run the Python script. Simply execute the script

python your_script_name.py

Replace your_script_name.py with the actual name of your Python script.

By following these steps, you can set up the required libraries in your virtual environment, ensuring that your AI assistant code runs smoothly. Additionally, using a virtual environment helps keep your project isolated and organized.

User Interaction:

The assistant can answer questions or engage in conversations with the user. The user can ask questions like "What's your name?", and the assistant responds accordingly.