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GPT-AutoPilot

A ChatGPT API powered Python script that can build almost anything with the power of the Function Calling. Just tell it what you want to build, and it will build it and ask you clarifying questions along the way.

GPT-AutoPilot uses an iterative process, so after it has accomplished the task, it will ask you if you need some modifications. You can also run the script with an existing project in the code folder or specify a custom working directory with the --dir flag and it will make modifications to it based on your prompt. Note that the AI has the ability to delete and modify files, so have a backup

Usage

For simple tasks, you can run:

$ ./gpt-autopilot.py --simple

For a more complex project, just run the script without any flags. It will ask you for details.

$ ./gpt-autopilot.py

You can enable Git with --git and it will commit every change to git automatically and you can revert back or retry any step.

$ ./gpt-autopilot.py --git

Installation

GPT-AutoPilot works on both Linux and Windows (and probably macOS) and it has standalone packages, that don't need the Python interpreter.

Linux

You can either clone the repository and run gpt-autopilot.py or you can download the standalone package.

1. Export your OpenAI API key as OPENAI_API_KEY environment variable or put it in the config.json file (see config.sample.json). You can also run the program directly, and it will ask you for your API key.

$ export OPENAI_API_KEY=YOUR_API_KEY

2. Set up the virtual environment (optional) and install the dependencies

$ python3 -m venv venv
$ source venv/bin/activate
$ pip install -r requirements.txt

3. Run the script. It will ask you for a prompt.

$ ./gpt-autopilot.py

4. For example, tell it to "create a JavaScript inventory application for the browser with a form that can add products with a name, quantity and price. Save the products to localstorage and list them in a table in the application. Calculate the total price of the products in the inventory. Add CSS styles to make the application look professional. Add a Inventory System header and hide the product add form when the page is printed."

Windows: Standalone Package

On Windows, you can download the standalone package, unzip it and run gpt-autopilot.exe. It will ask you for your API key.

Windows: with Python interpreter

You can also download or clone the repository and install it manually. You need Python to be installed on your machine.

After you have downloaded and unzipped, or cloned the repository, go into the gpt-autopilot folder and do the following:

1. Save your OpenAI API key in the OPENAI_API_KEY environment variable or put it in the config.json file (see config.sample.json). You can also run the program directly, and it will ask you for your API key.

> set OPENAI_API_KEY=YOUR_API_KEY

2. Set up the virtual environment (optional) and install the dependencies

> python -m venv venv
> venv\Scripts\activate
> pip install -r requirements.txt

3. Run the script. It will ask you for a prompt.

> python gpt-autopilot.py

Where does the output go?

The files will be written to the code directory, relative to the path of the executable. If you use the --dir flag, files will be written to the directory you specify. If you use the --versions flag, the files will be written to the versions directory.

Does it work with GPT-3.5?

Yes. The default model is gpt-3.5-turbo-16k-0613. You can change it in the config.json file. Make sure to use the 0613 models since only they support function calling. GPT-4 (gpt-4-0613) will provide more capabilities for certain tasks, but will be a lot more expensive. It is recommended to try it with GPT-3.5 first.

Multi-version branching

With the new --versions flag you can create multiple versions of a project at the same time. This is recommended, as sometimes retrying a prompt will produce a better outcome.

For example, you can create 3 versions of the same project by running:

$ ./gpt-autopilot --versions 3

After all the versions have been created, you can inspect them and GPT-AutoPilot will ask you, which one you want to iterate over. It will then create 3 more versions of that version with your next prompt and you can repeat this process until the project is ready.

All versions and version iterations are stored in separate folders in the versions folder.

System Message

You can customize the system message by editing the prompts/default/system_message file. The system message will affect how the agent acts. For example, you can add a code style guide to it. You can also create a new folder to the prompts folder and create a system_message file inside it. GPT-AutoPilot will detect automatically if a prompt requires that specific system message (based on the folder name).

Demo: GPT-4

gpt-4-autopilot-demo.mp4

Demo: GPT-3.5

gpt-3.5-autopilot-demo.mp4

Support

If you like this code, consider buying me a coffee and/or subscribing to my YouTube-channel