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# Tutorial
## Keep separation between "production code" (library / not interactive) & interactivity
- 💡 One of the strength of interactive pipe is to avoid adding hundreds of lines of code dedicated to GUI (graphical user interfaces).
- With interactive pipe, you have the choice to keep this design choice. Each processing block can be defined as a regular function, without even importing the `interactive` decorator. In a separate file, you'll add sliders.
### Several ways to decorate building blocks
#### 1.Decorate afterward 🏆 *= Recommended approach*
- ➖ Less elegant to read (`add_interactivity` may be in a different file)
- ➕ The decorated function can't be re-used somewhere else.
- ➕ Possibility to add conditions (`debug` flag)
```python
def gen_color(frequency=0, isotropy=0.):
...
def add_interactivity(debug=True):
interactive(
frequency=(80, [1, 100]),
isotropy=(0.8, [0.1, 1.]) if debug else 0.8
)(gen_color)
```
#### 2.Decorate using `@`
```python
@interactive(
frequency=(80, [1, 100]),
isotropy=(0.8, [0.1, 1.])
)
def gen_color(frequency=0, isotropy=0.):
...
```
- ➕ Easy to read
- ➖ The decorated function can't be re-used somewhere else.
- ➖ No possibility to add condition to hide/show slider. To hide the slider, you need to comment!
#### 3. Shorter code using `@`
```python
@interactive()
def gen_color(
frequency=(80, [1, 100]),
isotropy=(0.8, [0.1, 1.])
):
```
- ➕ Shortest code
- ➖ The decorated function can't be re-used somewhere else
## Pipeline visualization
Internally, `interactive_pipe` builds an execution graph of the pipeline.
| pipeline's execution graph |
| :--:|
|  |
## Backend choice
| 🚀 Qt | 🐢 Gradio |
|:---:|:---:|
|  |  | |