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transformersagentui 0.4.1

🤗 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
Save every run - also when cache is hit
Add notification if no token is available
Deploy to Pypi. DONE - See link
Rename running parameter to is_running parameter
Move use_cache from settings tab to editor tab
Save run prints to store
Redirect log to Terminal AND to stdout for easier debugging
Support dynamic arguments (text, image etc) to run function

As inputs to .run
Create/ Update from file
Create/ Update from output
Delete/ Remove

Get better feedback on run exceptions back
Test it on lots of examples

Add specific support for reading and writing more types. Currently most things are pickled.

torch.Tensor is often returned and can be saved

Add three examples to make it easy to get started
Support enabled remote parameter setting. Currently we only support remote.
Don't save asset if from cache. Instead reuse.
Make the Cache/ Store useful by providing an interface
Multi user support

Restrict logs to user session

See also hf #23354

Restrict store to user session
Make application non-blocking when used by multiple users

Deploy to Hugging Face. I probably wont be able to as the app needs a lot of power when
running locally.
Build a sample store and collect data on runs
Enable downloading the output value
Help the app and/ or Panel display the outputs. For example when a tensor is returned Panel
Specifically test that the output of each tool is supported
does not know how to display that. And the agent fails if we ask it to return the value wrapped in
a HoloViz Panel Audio Pane. See Panel #4836
Profile the run and figure out if for example agents should be reused/ cached
Prompt seems to be cut of when displayed in the UI. Fix this

Maybe later list

Make the project more specific by calling it hfagent-ui and providing HFAgentUI,
Make the project more general as in agent-ui. We could provide HFAgentUI,
LangChainAgentUI etc. Or maybe even just AgentUI. Much of the code would be reusable.
Run inference async to make app more performant if possible
Support chat mode.