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ellendan/a-share-demo

sourceHugging Facegpl-3.0updated 1y agoView on Hugging Face
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App README

1. Install dependencies

The latest Demo uses TA-Lib, so you need to install the C/C++ TA-Lib library locally first. To install the C/C++ library, see the official README.

Then, if you are using pipenv, run

bash
pipenv sync 

# or 
pip install

otherwise, run

bash
pip install -r local-requirements.txt

2. Run the app

If you want to run the app.py locally, run

bash
pipenv run python app.py

Attention: Your network should be able to access the huggingface website, because we loading the dataset from huggingface. And then accsess the app at http://localhost:7860.

3. Run the nootebook scripts

Recommendation: use your local development IDE for the jupyter notebook files.

Or you can launch a jupyter nootbook web in the terminal, run

bash
pipenv run jupyter lab