olapp 0.2.0

A modern alternative to Gradio with stunning UI

Olapp

A modern alternative to Gradio. Build ML demos and web apps with Python.

Why Olapp?

• Clean, professional UI — not generic AI styling. Looks like a real product.
• Simple API — Interface for quick demos, Blocks for complex layouts
• 25 components — Textbox, Slider, Image, Chatbot, Code, Gallery, and more
• Real-time streaming — SSE-based live updates
• Dark/light themes — built-in, no config needed
• HuggingFace Spaces compatible — drop in app.py and go

Install

pip install olapp

Quick Start

import olapp

def greet(name, excitement):
    return f"Hello, {name}{'!' * int(excitement)}"

app = olapp.Interface(
    fn=greet,
    inputs=[
        olapp.Textbox(label="Name", placeholder="Enter your name"),
        olapp.Slider(minimum=1, maximum=10, value=3, label="Excitement"),
    ],
    outputs=olapp.Textbox(label="Greeting"),
    title="Greeter",
)
app.launch()

Blocks API

import olapp

with olapp.Blocks(title="My App") as app:
    with olapp.Row():
        inp = olapp.Textbox(label="Input")
        out = olapp.Textbox(label="Output")
    btn = olapp.Button("Run")
    app.click(fn=lambda x: x.upper(), inputs=inp, outputs=out)

app.launch()

Components

Component	Description
Textbox	Single/multi-line text input
Number	Numeric input with +/- controls
Slider	Range slider
Checkbox	Boolean toggle
Dropdown	Selection dropdown
Radio	Radio button group
Button	Clickable button
Image	Image upload with drag & drop
Audio	Audio upload & playback
Video	Video upload & playback
File	File upload
Dataframe	Tabular data display
Markdown	Markdown renderer
HTML	Raw HTML display
Chatbot	Chat message interface
State	Hidden state storage
ColorPicker	Color picker with hex input
DateTime	Date/time picker
Code	Code editor with monospace font
Gallery	Image gallery grid
Label	Classification labels with confidence bars
HighlightedText	Text with labeled spans (NER, sentiment)
JSON	JSON viewer
Progress	Progress bar

Layout (Blocks)

with olapp.Blocks(title="Complex App") as app:
    with olapp.Row():
        with olapp.Column():
            inp = olapp.Textbox(label="Input")
        with olapp.Column():
            out = olapp.Textbox(label="Output")

    with olapp.Group():
        btn = olapp.Button("Process")
        app.click(fn=process, inputs=inp, outputs=out)

    with olapp.Tabs():
        with olapp.Tab("Results"):
            olapp.Markdown(value="Results here")
        with olapp.Tab("Settings"):
            olapp.Slider(label="Threshold", minimum=0, maximum=1, value=0.5)

HuggingFace Spaces

Create app.py:

import olapp

def predict(text):
    return text[::-1]

app = olapp.Interface(fn=predict, inputs="textbox", outputs="textbox", title="Reverser")
app.launch(server_name="0.0.0.0", server_port=7860)

requirements.txt:

olapp

Development

git clone https://github.com/Atum246/olapp.git
cd olapp
pip install -e .
python -m pytest tests/ -v

License

MIT