Skip to main content

Notebook for interacting with models in AIConfig

Project description

gradio_notebook

A Custom Gradio component to build AI Notebooks powered by AIConfig. See https://aiconfig.lastmileai.dev/docs/gradio-notebook for full documentation.

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_notebook import GradioNotebook

with gr.Blocks() as demo:
    GradioNotebook()

demo.queue().launch()

Configure the default AIConfig for the notebook by specifying a path to the config:

import gradio as gr
from gradio_notebook import GradioNotebook

with gr.Blocks() as demo:
    GradioNotebook(config_path="./my_app.aiconfig.json")

demo.queue().launch()

For the remaining commands for local development, please follow the instructions from the README-dev.md file!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gradio_notebook-0.0.4.tar.gz (2.1 MB view details)

Uploaded Source

Built Distribution

gradio_notebook-0.0.4-py3-none-any.whl (522.4 kB view details)

Uploaded Python 3

File details

Details for the file gradio_notebook-0.0.4.tar.gz.

File metadata

  • Download URL: gradio_notebook-0.0.4.tar.gz
  • Upload date:
  • Size: 2.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for gradio_notebook-0.0.4.tar.gz
Algorithm Hash digest
SHA256 80ded2e9eb2bd6de4302728a8e4c9b5a7b91cc0a908e23532614459b32758e9e
MD5 90693e303c2566a5720b074558a716af
BLAKE2b-256 6a7efb99e874f2adf662997ae8e2365309ae65665ed496d9e3a871a31152c7a5

See more details on using hashes here.

File details

Details for the file gradio_notebook-0.0.4-py3-none-any.whl.

File metadata

File hashes

Hashes for gradio_notebook-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 76335158674fa88606a86b20ae02066e4d8e49c904ca0765577bb46ec3f61130
MD5 d29f3846742d4fcc26701cb8b590ecbd
BLAKE2b-256 33caa08ec6b98b8e399bcf8c6237fd89acfe994b58b5334f563d98712026ad85

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page