title	emoji	colorFrom	colorTo	sdk	sdk_version	app_file	pinned	license
Moonshot Plays	🌖	green	yellow	gradio	4.21.0	app.py	false	wtfpl

moonshot-plays

Repository Introduction

moonshot-plays is a curated collection of Python demos that interact with Moonshot AI's language model via its API. Utilizing Gradio for an interactive experience, this repository aims to simplify the process of exploring and showcasing the capabilities of the Moonshot API.

Key Features

• Python Demos: Accessible and executable Python scripts that demonstrate the Moonshot API's functionality.
• Gradio Powered: Interactive web applications generated using Gradio for a seamless experience.
• Official API Documentation: Comprehensive guide and reference available at Moonshot AI - Open Platform.

Getting Started

Follow these steps to set up and run the demos:

1. Navigate to the root directory of the project: This is where the .env.example file is located.

2. Create and configure the .env file:

   cp .env.example .env
   

   Fill in your Moonshot API Key in the .env file where prompted.

3. Install required packages:

   pip install -r requirements.txt
   

   This command installs all necessary dependencies for the demos.

4. Launch the demo application:

   python3 app.py
   

   Run this command to start the demo, which will be accessible via a web interface.

Notes

• Ensure that you have Python 3.7.1 or a newer version installed on your system.
• The app.py serves as the entry point for the demo; the specifics may vary based on the demo you choose to run.

By following these steps, you'll be well on your way to exploring the capabilities of Moonshot AI through moonshot-plays. Enjoy your journey into the world of advanced language models!

Important Note

This README has been autogenerated by Moonshot AI and has undergone a basic manual review for accuracy. While every effort has been made to ensure that the information provided is correct, there may be occasional errors or omissions. If you encounter any issues or inaccuracies, please feel free to report them so they can be addressed promptly.

The primary purpose of this repository is to facilitate the use and understanding of Moonshot AI's language model through practical Python demos. The community's feedback is highly valued in maintaining the quality and usefulness of these resources.

Thank you for your understanding and contributions to improving moonshot-plays. Happy exploring!