CodeGPyT is a Python program that uses OpenAI code-davinci model to generate code in Python from plain spoken text.
The program reads plain English from an input.txt file, passes it to the OpenAI code model, generates code in Python, and automatically runs it using exec. The generated code is then saved into a folder called generated_code with a timestamp as the filename. The API key for OpenAI is stored in a .env file in the same location as main.py. There is an env.example file provided which contains OPENAI_API_KEY= that can be copied and named .env and filled in with your API key.
- Clone the repository to your local machine.
- Install the required packages by running
pip install -r requirements.txt. - Copy the
.env.examplefile and rename the new one.env - Fill in the API key in the
.env. Example: OPENAI_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx - Write the plain English description of what you want the code to do in the
input.txtfile. (I have left my example I used for fun in the text file) - Run
main.py
The generated code may not always work as expected. It is recommended to review and test the generated code before using it in a production environment.
I use VS Code and have set main as the run configuration so I just edit the text file, save, and hit run.