Fast Dash ๐Ÿš€โ€” A Framework for Rapid Development of ML Prototypes

Fast Dash, powered by Dash, makes prototyping and deploying machine learning web applications lightning fast! Using Fast Dash, anyone can build and deploy Python functions in under ten lines of code.

Hereโ€™s whatโ€™s possible with Fast Dash:
gallery_4_apps

To get started,

pip install fast-dash

For example, to build a simple text-to-text web application, this is all the code we need:

from fast_dash import FastDash
from fast_dash.Components import Text

# Step 1: Define your model inference
def text_to_text_function(input_text):
    return input_text

# Step 2: Specify the input and output components
app = FastDash(callback_fn=text_to_text_function, 
                inputs=Text, 
                outputs=Text, 
                title='App title')

# Step 3: Run your app!
app.run()

Fast Dash allows using all Dash components as inputs or outputs. Some other key features:

  • Multiple simultaneous input and output components.
  • Supports all Dash components โ€” text, audio, video, images.
  • Highly customizable and scalable.
  • Build fast and iterate.
  • Detailed documentation.
  • Open-source and free to use.

I hope you all find this useful. I welcome bug reports and contributions. Iโ€™d also love to hear any feedback or thoughts about potential applications.

6 Likes

Thank you for making this introductory post, @dkedar7 . I just added some Fast Dash details to the Community Components Index. Great library :slight_smile:

1 Like

Thank you!