Maya Labs : Program machines using natural language.

The Maya Labs Python SDK provides easy async access to our PAC-1 program synthesis engine, with a CLI to instruct and generate programs from instructions in natural language.

Installation

pip install --upgrade mayalabs

Preview

https://user-images.githubusercontent.com/8736797/230947440-2403762d-a14b-4b00-8fbe-bd803ab24028.mp4

Usage

Get the Maya Labs API key from the Settings > Developer section.

export MAYA_API_KEY = "mayakey-..."

Or set mayalabs.api_key to its value:

import mayalabs

mayalabs.api_key = "mayakey-..."

script = """
1. trigger on receive
2. research {{term}} on wikipedia
3. extract 'title' and 'summary' from tabular data
4. send response back
"""

function = mayalabs.Function(name="Scrape2")
# Creating new worker...

function.update(script=script)
# Generating program graph...
# Starting worker...
# Installing dependencies...
# Deployed!

output = function.call({"term": "Dr. Vikram Sarabhai"})
print(output)
# finds and outputs title and summary from wikipedia results

PAC-1 takes in steps written in English, writes & assembles a discrete program graph, and deploys ready-to-use software on our compute infrastructure, that you can call within your code. You can set up missing dependencies / visualize the flow of logic by following the link to flow-based editor it provides after deployment.

Check our documentation for more usage and tutorials.

Use Cases

• If...Then Conditionals and Looping
• Custom Functions
• Web Scrapers
• Repeating Workflows
• Custom Dashboards
• Data Transformation
• Platform Bots
• Business Processes
• Long-term memory
• Division of labour
  • Parallelization
  • Concurrency

Command Line Usage

Today, script need to be manually written step-by-step, but we are offering early WIP preview of iterative script generation via our CLI. Try running:

$ mayalabs instruct -c 'fetch Name and Email from gsheet, write function to merge all columns, and return data'

And then use the generated script as function.

https://user-images.githubusercontent.com/52493077/231979284-a7d1c43d-f6c6-4726-89fe-28e103cd198f.mp4

Requirements

• Python 3.7.1+

Issues

All feedback and bug reports welcome! Report in the issues section, or mail us at humans@mayalabs.io.

Full list of capabilities and limits here.

Roadmap

• Cleaner logs and exception handling
• Dependency configuration UX improvement
• Import skill repositories for reusing skills created by user or present in store
• Create and call downstream auto-deployed functions
• Allow multi-profile and team profile access