Morph is a python-centric full-stack framework for building and deploying AI apps.

• Fast to start 🚀 - Allows you to get up and running with just three commands.
• Deploy and operate 🌐 - Easily deploy your AI apps and manage them in production. Managed cloud is available for user authentication and secure data connection.
• No HTML/CSS knowledge required🔰 - With Markdown-based syntax and pre-made components, you can create flexible, visually appealing designs without writing a single line of HTML or CSS.
• Customizable 🛠️ - Chain Python and SQL for advanced AI workflows. Custom CSS and custom React components are available for building tailored UI.

1. Install morph

pip install morph-data

2. Create a new project

morph new

3. Start dev server

morph serve

4. Visit http://localhsot:8080 on browser.

Understanding the concept of developing an AI app in Morph will let you do a flying start.

1. Develop the AI workflow in Python and give it an alias.
2. Create an .mdx file. Each .mdx file becomes a page of your app.
3. Place the component in the MDX file and specify the alias to connect to.

. ├─ pages │ └─ index.mdx └─ python └─ chat.py 

1. Create each files in python and pages directories.

Python: Using Langchain to create a AI workflow.

import morph from morph import MorphGlobalContext from morph_lib.stream import stream_chat from langchain_openai import ChatOpenAI from langchain_core.messages import HumanMessage @morph.func def langchain_chat(context: MorphGlobalContext): llm = ChatOpenAI(model="gpt-4o") messages = [HumanMessage(context.vars["prompt"])] for token in llm.stream(messages): yield stream_chat(token.content)

MDX: Define the page and connect the data.

# 🦜🔗 Langchain Chat <Chat postData="langchain_chat" height={300} />

2. Run morph serve to open the app!

Visit https://docs.morph-data.io for more documentation.

Thanks for your interest in helping improve Morph ❤️

• Before contributing, please read the CONTRIBUTING.md.
• If you find any issues, please let us know and open an issue.

Morph is Apache 2.0 licensed.