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A newer version of the Gradio SDK is available:
5.29.0
metadata
title: A Share Demo
emoji: 🐢
colorFrom: purple
colorTo: blue
sdk: gradio
sdk_version: 5.9.1
app_file: app.py
pinned: false
license: gpl-3.0
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
pipenv sync
# or
pip install
otherwise, run
pip install -r local-requirements.txt
2. Run the app
If you want to run the app.py locally, run
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
pipenv run jupyter lab