transformers-agent-ui 0.1.0

This package makes it super simple to do exploratory data analysis and develop high-quality Panel data apps ...

🤗 Transformers Agent UI

THIS PROJECT IS CURRENTLY A PROOF OF CONCEPT. DON'T EXPECT EVERYTHING TO WORK! CHECK OUT THE TODO LIST FOR MORE INFO.

We want to

• Make it easy to use the Hugging Face Transformers Agent.

We provide

• the TransformersAgentUI component which can be used in the notebook as a web app
• a deployment of the web app on Hugging Face Spaces

You can install and use the package as simple as.

pip install transformers-agent-ui

In a notebook just run

import panel as pn
from transformers_agent_ui import TransformersAgentUI

pn.extension("terminal", "notifications", notifications=True, design="bootstrap")

TransformersAgentUI()

To serve as a web app create the file app.py

import panel as pn
from transformers_agent_ui import TransformersAgentUI

if pn.state.served:
    pn.extension("terminal", "notifications", notifications=True, design="bootstrap")
    TransformersAgentUI().servable()

and run

BOKEH_RESOURCES=cdn panel serve app.py

In order for you to run the inference you will have to provide tokens. Preferably via the environment variables

• HUGGING_FACE_TOKEN
• OPEN_AI_TOKEN

Alternatively you can provide them on the Settings tab in the app.

🚀 Get started in under a minute

Install transformers-agent-ui including the examples dependencies.

pip install  transformers-agent-ui[examples]

Explore the sample apps

pn hello transformers-agent-ui

You can now find the reference and gallery notebooks in the examples/awesome-panel/transformers-agent-ui folder. Check them out by running jupyter lab.

📒 Explore the examples online

Click one of the buttons

⭐ Support

Please support Panel and awesome-panel by giving the projects a star on Github:

• holoviz/panel.
• awesome-panel/awesome-panel.

Thanks

❤️ Contribute

If you are looking to contribute to this project you can find ideas in the issue tracker. To get started check out the DEVELOPER_GUIDE.

I would love to support and receive your contributions. Thanks.

.

Monitor

Todo List

• Implement TokenManager
• Redirect log to Terminal AND to stdout for easier debugging
• Save every run - also when cache is hit
• Add three examples to make it easy to get started
• Add notification if no token is available
• Deploy to Pypi
• Deploy to Hugging Face
• Support dynamic arguments (text, image etc) to run function
• Multi user support
  • Restrict logs to user session
  • Restrict store to user session
• Don't save asset if from cache. Instead reuse.
• Save run prints to logs
• Support remote parameter setting
• Support return_code parameter setting
• Run inference async to make app more performant if possible
• Make the Cache/ Store useful by providing an interface
• Add specific support for reading and writing more types. Currently most things are pickled.
• Test it on lots of examples
• Build a sample store and collect data on runs