ChatGPT for a Raspberry Pi

This project creates a versatile AI-powered home virtual assistant designed to run on a Raspberry Pi. It leverages OpenAI's language models (GPT-4) and other models, such as Dall-E and GPT Vision, for intelligent assistance and interaction.

Technologies Used

• Tkinter: A standard GUI (Graphical User Interface) library for Python, used for creating the application's window, buttons, text input fields, and other UI elements.
• Threading: A module for running tasks in separate threads to prevent the UI from becoming unresponsive during operations such as speech synthesis or API requests.
• gtts (Google Text-to-Speech): A library that allows Python to interface with Google's Text to Speech API, converting text into spoken voice.
• OpenAI: Specifically, this refers to the integration with OpenAI's API, incoporating the use of models such as Dall-E, GPT Vision or GPT-4 for generating responses.
• json: A module for parsing and generating JSON data, used here for loading and saving chat history in a JSON file format.
• os: A module providing a way to use operating system dependent functionality like file operations (e.g., reading, writing, and deleting files).
• pygame: A library used for creating video games, which includes the ability to play audio files. In this context, it is used for playing sound effects and synthesized speech.
• speech_recognition: A library for performing speech recognition, converting spoken words into text by using various APIs such as Google Speech Recognition.
• pyttsx3: A text-to-speech conversion library in Python that works offline. Unlike gtts, it does not require an internet connection.
• requests: A library for making HTTP requests to communicate with APIs, used here for validating the OpenAI API key and fetching images from DALL-E.
• PIL (Python Imaging Library), also known as Pillow: Used for opening, manipulating, and saving many different image file formats. This is useful for processing and displaying images generated by DALL-E within the application.
• io: A module that allows for dealing with various types of I/O (Input/Output). In this context, it's used for handling image data fetched from a web request.

Features

• Text-based interaction
• Voice-based interaction
• Image generation
• Image interpretation

Prerequisites

• Raspberry Pi (Model 3 or newer recommended)
• Raspberry Pi OS
• Python 3
• OpenAI API key

Installation Instructions

1. Set up an OpenAI API Key:

   • Visit the OpenAI website (https://platform.openai.com/api-keys) and create an account.
   • Navigate to your account settings and obtain your API key.

2. Install Dependencies

   sudo apt-get update
   sudo apt upgrade -y
   sudo apt-get install python3-pip 
   pip3 install openai speechrecognition pygame requests 
   python3 -m pip install --upgrade pip setuptools wheel
   pip3 install gTTS pygame SpeechRecognition pyttsx3 Pillow requests
   sudo apt install python3-tk -y
   pip3 install openai
   

3. Clone the Project Repository:

   git clone https://github.com/Dwayne232001/GPT_Pi.git your-repo-name
   

4. Run the Project:

   cd your-repo-name
   python3 application.py 
   

5. Configure Your API Key:

   • Run the application, it will automatically ask you for your API key, enter your API key there.

Usage

• Text-based Interaction: Type in prompts or commands and the system will provide text-based responses.
• Voice-based Interaction: Speak your prompts and the system will process them, providing either text or spoken responses (depending on your implementation).
• Image Generation: Describe a scene or object and the system will generate an image.
• Image-based Interaction: Upload a picture (a landscape, a painting, anything!) and the application will analyze it.

Example Interactions

• "What's the weather like in London?"
• "Generate an image of a cat riding a unicorn"

Support

For questions or help, please open an issue on the project's GitHub repository: https://github.com/Dwayne232001/GPT_Pi.git

Important Notes

• API Key Security: Do not share your OpenAI API key publicly. Keep it in a secure location, such as an environment variable.

License

GPT-Pi by Dwayne Nigel Vaz is licensed under CC BY-NC-SA 4.0

Shield:

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.