# Jac-Streamlit Plugin
The `jac-streamlit` plugin provides seamless integration between the Jac programming language and Streamlit, enabling you to create interactive web applications and visualizations directly from Jac code.
## Features
- **Direct Execution**: Run Streamlit apps written in Jac with a single command
- **Graph Visualization**: Interactive and static visualization of Jac graph structures
- **Testing Framework**: Comprehensive testing support for Jac-Streamlit applications
- **Cross-Platform**: Works on Windows, macOS, and Linux
## Installation
```shell
pip install jac-streamlit
```
## Quick Start
### Running Jac Streamlit Applications
Execute a Streamlit app written in Jac:
```shell
jac streamlit app.jac
```
### Visualizing Jac Graphs
Visualize your Jac graph structures in an interactive web interface:
```shell
jac dot_view app.jac
```
This opens a Streamlit application with two visualization modes:
- **Interactive View**: Using streamlit-agraph for dynamic graph exploration
- **Static View**: Using pygraphviz for traditional graph rendering
## Testing
The plugin includes a testing framework compatible with Streamlit's testing methodology:
```python
from jaclang_streamlit import AppTest
# Create test instance from Jac file
app_test = AppTest.from_jac_file("path/to/your/app.jac")
# Run the app and perform tests
app = app_test.run()
assert len(app.exception) == 0
```
## Example
Here's a simple Jac Streamlit application:
```jac
import streamlit as st;
with entry {
st.title("Hello Jac Streamlit!");
name = st.text_input("Enter your name");
if st.button("Greet") and name {
st.success(f"Hello, {name}!");
}
}
```
## Requirements
- Python 3.12+
- Jac programming language (jaclang)
- Streamlit 1.38+
## Documentation
For comprehensive documentation and examples, visit [jac-lang.org](https://jac-lang.org).
## License
MIT License - see the [LICENSE](https://github.com/jaseci-labs/jaseci/blob/main/LICENSE) file for details.
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"description": "# Jac-Streamlit Plugin\n\nThe `jac-streamlit` plugin provides seamless integration between the Jac programming language and Streamlit, enabling you to create interactive web applications and visualizations directly from Jac code.\n\n## Features\n\n- **Direct Execution**: Run Streamlit apps written in Jac with a single command\n- **Graph Visualization**: Interactive and static visualization of Jac graph structures\n- **Testing Framework**: Comprehensive testing support for Jac-Streamlit applications\n- **Cross-Platform**: Works on Windows, macOS, and Linux\n\n## Installation\n\n```shell\npip install jac-streamlit\n```\n\n## Quick Start\n\n### Running Jac Streamlit Applications\n\nExecute a Streamlit app written in Jac:\n\n```shell\njac streamlit app.jac\n```\n\n### Visualizing Jac Graphs\n\nVisualize your Jac graph structures in an interactive web interface:\n\n```shell\njac dot_view app.jac\n```\n\nThis opens a Streamlit application with two visualization modes:\n- **Interactive View**: Using streamlit-agraph for dynamic graph exploration\n- **Static View**: Using pygraphviz for traditional graph rendering\n\n## Testing\n\nThe plugin includes a testing framework compatible with Streamlit's testing methodology:\n\n```python\nfrom jaclang_streamlit import AppTest\n\n# Create test instance from Jac file\napp_test = AppTest.from_jac_file(\"path/to/your/app.jac\")\n\n# Run the app and perform tests\napp = app_test.run()\nassert len(app.exception) == 0\n```\n\n## Example\n\nHere's a simple Jac Streamlit application:\n\n```jac\nimport streamlit as st;\n\nwith entry {\n st.title(\"Hello Jac Streamlit!\");\n name = st.text_input(\"Enter your name\");\n if st.button(\"Greet\") and name {\n st.success(f\"Hello, {name}!\");\n }\n}\n```\n\n## Requirements\n\n- Python 3.12+\n- Jac programming language (jaclang)\n- Streamlit 1.38+\n\n## Documentation\n\nFor comprehensive documentation and examples, visit [jac-lang.org](https://jac-lang.org).\n\n## License\n\nMIT License - see the [LICENSE](https://github.com/jaseci-labs/jaseci/blob/main/LICENSE) file for details.\n",
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