No-code AI Automation Platform

This project is a no-code platform for creating and managing AI-driven automation pipelines. It consists of a backend built with FastAPI and a frontend built with React.

Demo: Click Here

Link: https://react-flow-graphs-frontend.vercel.app/

Backend: https://no-code-ai-automations-platform-backend.onrender.com/

Project Structure

Backend

The backend is built with FastAPI and provides APIs for managing pipelines. It includes the following key components:

• main.py: The main entry point of the backend application.
• Node, Edge, Pipeline: Pydantic models representing the structure of a pipeline.

Running the Backend

1. Create a virtual environment:

   python -m venv .myenv

2. Activate the virtual environment:

   source .myenv/bin/activate

3. Install the dependencies:

   pip install -r requirements.txt

4. Run the FastAPI server:

   uvicorn main:app --reload

The backend server will be available at http://127.0.0.1:8000.

Frontend

The frontend is built with React and provides a drag-and-drop interface for creating pipelines. It includes the following key components:

• App.js: The main entry point of the frontend application.
• PipelineToolbar: A toolbar for adding nodes to the pipeline.
• PipelineUI: The main UI for displaying and managing the pipeline.
• SubmitButton: A button for submitting the pipeline to the backend.

Running the Frontend

1. Navigate to the frontend directory:

   cd frontend

2. Install the dependencies:

   npm install

3. Start the development server:

   npm start

The frontend application will be available at http://localhost:3000.

API Endpoints

POST /pipelines/parse

Parses a pipeline and returns the number of nodes, number of edges, and whether the graph is a Directed Acyclic Graph (DAG).