gradio_gradioworkbook
A Custom Gradio component to build AI Notebooks powered by AIConfig.
Example usage
Please see the demo/app.py for full details, but generally all you need to do is add these lines to your component:
import gradio as gr
from gradio_gradioworkbook import GradioWorkbook
AICONFIG_FILE_PATH = "./example_aiconfig.json" #Can also be empty or None!
with gr.Blocks() as demo:
GradioWorkbook(filepath=AICONFIG_FILE_PATH)
demo.queue().launch()
For the remaining commands for local development, please follow the
instructions from the README-dev.md file!
3 maintainers
Release files for gradio-gradioworkbook 0.0.23
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gradio_gradioworkbook-0.0.23.tar.gz | 2.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gradio_gradioworkbook-0.0.23-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.6 MB
Release files / gradio_gradioworkbook-0.0.23.tar.gz
| Download URL | gradio_gradioworkbook-0.0.23.tar.gz |
|---|---|
| Size | 2.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.6
|
Release files / gradio_gradioworkbook-0.0.23-py3-none-any.whl
| Download URL | gradio_gradioworkbook-0.0.23-py3-none-any.whl |
|---|---|
| Size | 521.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.6
|
