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.
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!
- Dynamic Text to Graph conversion.
- Color-coded graph nodes and edges.
- Responsive design—use it on any device.
- Super-duper user-friendly!
To get started, you'll need Python and pip installed. Then you can install the required packages with:
pip install -r requirements.txt
git clone https://github.com/yoheinakajima/instagraph.git
cd instagraph
pip install -r requirements.txt
Add your OpenAI API key to your environment variables:
export OPENAI_API_KEY=your-api-key-here
python main.py
Navigate to https://localhost:8080
to see your app running.
- Open your web browser and navigate to
https://localhost:8080
. - Type your text or paste a URL in the input box.
- Click "Submit" and wait for the magic to happen!
-
GET Response Data:
/get_response_data
- Method:
POST
- Data Params:
{"user_input": "Your text here"}
- Response: GPT-3.5 processed data
- Method:
-
GET Graph Data:
/get_graph_data
- Method:
POST
- Response: Graph Data
- Method:
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...
MIT License. See LICENSE.md for more information.
Enjoy using InstaGraph! 🎉