dash-text-to-speech
dash-text-to-speech is a Dash component library.
my dash mic recorder
Get started with:
- Install Dash and its dependencies: https://dash.plotly.com/installation
- Run
python usage.py
- Visit http://localhost:8050 in your web browser
Contributing
See CONTRIBUTING.md
Install dependencies
If you have selected install_dependencies during the prompt, you can skip this part.
-
Install npm packages
$ npm install
-
Create a virtual env and activate.
$ virtualenv venv
$ . venv/bin/activate
Note: venv\Scripts\activate for windows
-
Install python packages required to build components.
$ pip install -r requirements.txt
-
Install the python packages for testing (optional)
$ pip install -r tests/requirements.txt
Write your component code in src/lib/components/DashTextToSpeech.react.js
.
- The demo app is in
src/demo
and you will import your example component code into your demo app. - Test your code in a Python environment:
- Build your code
$ npm run build
- Run and modify the
usage.py
sample dash app:
$ python usage.py
- Write tests for your component.
- A sample test is available in
tests/test_usage.py
, it will load usage.py
and you can then automate interactions with selenium. - Run the tests with
$ pytest tests
. - The Dash team uses these types of integration tests extensively. Browse the Dash component code on GitHub for more examples of testing (e.g. https://github.com/plotly/dash-core-components)
- Add custom styles to your component by putting your custom CSS files into your distribution folder (
dash_text_to_speech
).
- Make sure that they are referenced in
MANIFEST.in
so that they get properly included when you're ready to publish your component. - Make sure the stylesheets are added to the
_css_dist
dict in dash_text_to_speech/__init__.py
so dash will serve them automatically when the component suite is requested.
- Review your code
Create a production build and publish:
-
Build your code:
$ npm run build
-
Create a Python distribution
$ python setup.py sdist bdist_wheel
This will create source and wheel distribution in the generated the dist/
folder.
See PyPA
for more information.
-
Test your tarball by copying it into a new environment and installing it locally:
$ pip install dash_text_to_speech-0.0.1.tar.gz
-
If it works, then you can publish the component to NPM and PyPI:
- Publish on PyPI
$ twine upload dist/*
- Cleanup the dist folder (optional)
$ rm -rf dist
- Publish on NPM (Optional if chosen False in
publish_on_npm
)
$ npm publish
Publishing your component to NPM will make the JavaScript bundles available on the unpkg CDN. By default, Dash serves the component library's CSS and JS locally, but if you choose to publish the package to NPM you can set serve_locally
to False
and you may see faster load times.
-
Share your component with the community! https://community.plotly.com/c/dash
- Publish this repository to GitHub
- Tag your GitHub repository with the plotly-dash tag so that it appears here: https://github.com/topics/plotly-dash
- Create a post in the Dash community forum: https://community.plotly.com/c/dash