This code can be used to continue develop no-code applications based on ChatGPT API and prompt engineering. The current implementation is only focused on dynamic parsing of dataframes from any to standardized format.
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This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.
Set up Python version 3.7 or higher
- Get a OpenAI API Key at https://openai.com/product/
- Clone the repo
git clone https://github.com/Garsdal/gpt-codegen.git
- Create a new virtual environment and install the requirements
pip install -r requirements.txt
- Install the package
pip install -e .
- Enter your OpenAI API key in
config/config_api.json
Alternatively, this can also be done through the CLI, by calling{ "API_KEY": "YOUR KEY HERE", }
python src/cli.py config-api --key <YOUR_API_KEY>
Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.
For more examples, please refer to the Documentation
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See the open issues for a full list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
Marcus Garsdal - LinkedIn - garsdal@live.dk
Project Link: https://github.com/Garsdal/gpt-codegen
Thanks to othneildrew for the README template.
Thanks to OpenAI for giving personal access to their API for projects like these.