Instantly turn your Python function into production-ready microservice.

Getting Started • License • Changelog

Instantly turn your Python function into delightful app and production-ready microservice, with lightweight UI to interact with.

• 🔌 Instantly turn functions into microservices within seconds.
• 📈 Automatically generate user-friendly UI for interaction.
• 🤗 One-click deployment to Hugging Face Spaces.
• ☁️ Develop locally, deploy to the cloud.
• 🧩 Empower development and analysis with scalable components.
• 🦄 Get inspired by the open-source community.

We are currently in: Public Alpha.

Wokrlcell is heavily under development, and we expect to iterate on the APIs/UIs before reaching beta (version 0.1.0).

• Python version 3.8+

• Install Workcell using pip:

  pip install workcell

• Or using Anaconda:

  conda install workcell

• After workcell installed, just run:

  workcell hello

• You can find an automatically generated Swagger UI from http://127.0.0.1:7860/docs, then just goto http://127.0.0.1:7860/ui to try your first workcell app:)

• What happened?

  Workcell has created a FastAPI service and a lightweight user interface for your functions without any additional API or UI-related code. This service is ready to be deployed to the cloud as a public service, requiring minimal setup on your end.

• Speed up your development

  With Workcell, you can focus on developing your core functionality while leaving the infrastructure and deployment details to the platform. All you need is to make sure your function is workcell compatible.

• Workcell compatible

  A workcell-compatible function must have an input and output parameter and return value based on Pydantic models. The input and output are specified using type hints.

  Here is an example of a simple workcell compatible function:

  from pydantic import BaseModel
  
  class Input(BaseModel):
      message: str
  
  class Output(BaseModel):
      message: str
  
  def hello_workcell(input: Input) -> Output:
      """Returns the `message` of the input data."""
      return Output(message=input.message)

• Why deployment?

  You'll be able to access your workcell from anywhere and share it with your team and collaborators. Now you can deploy workcell to Hugging Face Spaces in 1-click!

• Prepare your Hugging Face account

  First you need a Hugging Face account, and prepare a User Access Tokens, then set environment variables like below:

  export HUGGINGFACE_USERNAME={huggingface_username}
  export HUGGINGFACE_TOKEN={huggingface_token}

  Replace {huggingface_username} and {huggingface_token} with yours.

  You can also store these environment variables in a .env file in your project folder for convenience.

• Deploy in 1-click!

  Once you prepared a workcell compatible function (or project), just run:

  workcell up app:hello_workcell

  Voila! The deployment process will start, and within a few minutes, workcell will be available on your Hugging Face Spaces.

• Extra explain

  When you run workcell up, there're actually 2 seperate step workcell pack and workcell deploy been applied. workcell pack will package your function code with a template into .workcell under your project folder, and workcell deploy will upload this folder to cloud.

• You can find more details in our documents.

• Get inspired and learn more about workcell by exploring our examples:

  • https://github.com/weanalyze/workcell-examples

• We also have a curated list for you to check out, feel free to contribute!

  • https://github.com/weanalyze/best-of-workcell

• Missing a feature? Have a look at our public roadmap to see what the team is working on in the short and medium term. Still missing it? Please let us know by opening an issue!

• If you have any questions about the workcell or weanalyze , feel free to email us at: [email protected]

• If you want to say hi, or are interested in partnering with us, feel free to reach us at: [email protected]

• Feel free to share memes or any questions at Discord: https://discord.weanalyze.co

Apache-2.0 License.