InstaGraph 🌐

Hello there, adventurous coder! Welcome to InstaGraph, your go-to application for converting text or URLs into insightful knowledge graphs. Curious about the relationships between entities in a complex topic? Feed the text to InstaGraph and voila! A beautiful knowledge graph is at your fingertips.

See example flowcharts generated by InstaGraph here.

Powered by OpenAI's GPT-3.5, this Flask application turns your text into a vividly colored graph, making it easier to visualize relationships between various entities. Enough talking—let's get started!

Author's TL;DR: If you're just looking for how the knowledge graph is generated, check out the function call parameters taking up half of main.py.

Table of Contents 📚

• Features
• Installation
• Usage
• Contributing
• License

Features 🌟

• Dynamic Text to Graph conversion.
• Color-coded graph nodes and edges.
• Responsive design—use it on any device.
• Super-duper user-friendly!

Installation 🛠️

To get started, you'll need Python and pip installed. Then you can install the required packages with:

pip install -r requirements.txt

1. Clone the repository

git clone https://github.com/yoheinakajima/instagraph.git

2. Navigate to the project directory

cd instagraph

3. Install the required Python packages

pip install -r requirements.txt

4. Set up your OpenAI API Key

Add your OpenAI API key to your environment variables:

export OPENAI_API_KEY=your-api-key-here

5. Run the Flask app

python main.py

Navigate to http://localhost:8080 to see your app running.

Usage 🎉

Web Interface

• Open your web browser and navigate to http://localhost:8080.
• Type your text or paste a URL in the input box.
• Click "Submit" and wait for the magic to happen!

API Endpoints

1. GET Response Data: /get_response_data

   • Method: POST
   • Data Params: {"user_input": "Your text here"}
   • Response: GPT-3.5 processed data

2. GET Graph Data: /get_graph_data

   • Method: POST
   • Response: Graph Data

Contributing 🤝

Best way to chat with me is on Twitter at https://twitter.com/yoheinakajima. I usually only code on the weekends or at night, and in pretty small chunks. I have lots ideas on what I want to add here, but obviously this would move faster with everyone. Not sure I can manage Github well given my time constraints, so please reach out if you want to help me run the Github. Now, here are a few ideas on what I think we should add based on comments...

• Store knowlege graph
• Pull knowledge graph from storage
• Show history
• Ability to combine two graphs
• Ability to expand on a graph (either paragraph description of node or new nodes)
• Fuzzy matching of nodes for combining graphs (vector match + LLM confirmation)

There are a lot of "build a chart" tools out there, so instead of doing user account and custom charts, it sounds more fun for me to work on building the largest knowlege graph ever...

License 📝

MIT License. See LICENSE.md for more information.

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Enjoy using InstaGraph! 🎉