Streamlit is a Python framework for building interactive data apps. The spacy-streamlit
package helps you integrate spaCy visualizations into your Streamlit apps and quickly spin up demos to explore your pipelines interactively. It includes a full embedded visualizer, as well as individual components. If you're training your own pipelines, you can integrate the visualize
command into your project.yml
and pass in the path to your exported pipeline to visualize it. See the tutorial project templates for examples.
The project.yml
defines the data assets required by the
project, as well as the available commands and workflows. For details, see the
Weasel documentation.
The following commands are defined by the project. They
can be executed using weasel run [name]
.
Commands are only re-run if their inputs have changed.
Command | Description |
---|---|
download |
Download models |
visualize |
Visualize a pipeline interactively using Streamlit |
See spacy-streamlit
for
details.