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.github/workflows/test_and_deploy.yaml

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runs-on: ${{ matrix.platform }}
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strategy:
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matrix:
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platform: [ubuntu-latest, windows-latest, macos-latest]
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platform: [ubuntu-latest]
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python-version: [3.9]
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steps:

README.md

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```python
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pip install 'amadeusgpt[streamlit]'
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```
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- Please note that you need an [openAI API key](https://platform.openai.com/account/api-keys), which you can easily create [here](https://platform.openai.com/account/api-keys).
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- If you want the **Streamlit Demo on your computer**, you will also need demo files that are supplied in our repo (see below**), so please git clone the repo and navigate into the `AmadeusGPT` directory. Then in your conda env/terminal run `pip install '.[streamlit]'`. Then, to launch the Demo App execute in the terminal:
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```python
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make app
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- If you launch the app and get an ffmpeg error, `RuntimeError: No ffmpeg exe could be found. Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.` try running `conda install ffmpeg`.
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- If you have an M1/M2 chip and use CEBRA within AmadeusGPT, and you get this error: `RuntimeError: Device type MPS is not supported for torch.Generator() api` run `pip install --upgrade torch`.
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## Hosted Demo:
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- 🔮 App: [https://amadeusgpt.kinematik.ai/](https://amadeusgpt.kinematik.ai/)
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- Please note that you need an [openAI API key](https://platform.openai.com/account/api-keys), which you can easily create [here](https://platform.openai.com/account/api-keys).
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https://github.com/AdaptiveMotorControlLab/AmadeusGPT/assets/28102185/61bc447c-29d4-4295-91be-23e5a7f10386
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## License
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AmadeusGPT is license under the Apache-2.0 license.

amadeusgpt/version.py

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#
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# Licensed under Apache 2.0
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__version__ = "0.1.0"
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__version__ = "0.0.2"
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VERSION = __version__

setup.cfg

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[metadata]
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name = amadeusgpt
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version = 0.1.0
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version = 0.0.2
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author = Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie Mathis
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author_email = [email protected]
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description = AmadeusGPT🎻: We turn natural language descriptions of behaviors into machine-executable code

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