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Shaokai/fix install #34

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removed unused modules. Moved hdf5 to conda yaml. Removed unused depe…
yeshaokai Jun 1, 2024
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updates
yeshaokai Jun 1, 2024
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Merge branch 'main' of github.com:AdaptiveMotorControlLab/AmadeusGPT …
yeshaokai Jun 1, 2024
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further clean
yeshaokai Jun 2, 2024
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Update README.md
yeshaokai Jun 2, 2024
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Merge pull request #33 from AdaptiveMotorControlLab/yeshaokai-patch-1
yeshaokai Jun 2, 2024
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Update README.md
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Update README.md
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@yeshaokai
yeshaokai authored Jun 2, 2024
commit 65061d89f3427726c3083362d85f831ebe85564d
7 changes: 3 additions & 4 deletions README.md
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Expand Up @@ -25,9 +25,7 @@

## Install & Run AmadeusGPT🎻

- We prepare installation script install.sh

Modify the bash script to fit your own
- We prepare installation script install.sh. Make sure you modify the bash script to fit your own.
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@MMathisLab MMathisLab Jun 8, 2024

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why are you deleting the pypi package? it is on pypi ;)

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@yeshaokai yeshaokai Jun 8, 2024 •
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Because I realize that, at least when I was working on it, one can't install deeplabcut with pip install alone. It needs to use the conda yaml to first install hdf5 and many users don't understand why that's the case. So inside the installation script, I force users to create a conda env via conda yaml and then pip install.

The installation script

source /Users/shaokaiye/miniforge3/bin/activate

conda env create -f conda/amadesuGPT.yml

conda activate amadeusgpt

pip install -e .[streamlit]

In colab, because hdf5 is pre-installed, then they will run into slightly different problem such as pytable vs. tables from deeplabcut. I overheard you guys might have solved it. Let me know if there is better way to solve it.

```bash
#!/bin/bash
# replace this with your own conda path
Expand All @@ -47,7 +45,8 @@ conda activate amadeusgpt
```bash
make app
```
- You can use AmadeusGPT directly in python: iPython, Jupyter Notebooks, Google Colab, etc. For a quick start, see our `\examples` directory that hosts demo data and a Jupyter Notebook! Enjoy!
- You can use AmadeusGPT directly in python: iPython, Jupyter Notebooks etc. For a quick start, see our `\examples` directory that hosts demo data and a Jupyter Notebook! Enjoy!
- Note if you use Google Colab, you still need to clone the repo (to access the demo data and installation script) and run installation script (after modifying the conda path)

## Citation

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