💻 programming

Prettygraph

An experimental UI for converting text into knowledge graphs.

#Python
#Knowledge graph
#text analysis
#Web application
#Dynamic UI
Prettygraph

Product Details

prettygraph is a Python-based web application developed by @yoheinakajima that showcases a new UI pattern for dynamically converting text input into a knowledge graph. This project is a rapid prototype that aims to provide a simple UI idea to generate a knowledge graph by updating text highlighting in the UI in real time.

Main Features

1
Text-to-graph generation: Convert user-entered text into a knowledge graph.
2
Dynamic UI updates: Each text input ending with a period updates the graph.
3
Color-coded visualization: Nodes and edges in the graph are color-coded for easier visual distinction.
4
Real-time updates: The map is updated in real time after each period, providing an interactive experience.
5
Dependency management: Use Poetry for dependency management to simplify project setup.
6
Environment variable configuration: The OPENAI_API_KEY environment variable needs to be set to run the application.
7
Open source license: The project follows the MIT license and is open source.

How to Use

1
Clone the repository: Use the git command to clone the prettygraph code base locally.
2
Enter the project directory: Navigate to the cloned prettygraph project folder via the command line.
3
Install dependencies: Use the Poetry command to install the dependencies required for the project.
4
Configure environment variables: Create an .env file in the project root directory and add OPENAI_API_KEY.
5
Run the application: Use poetry run python main.py to start the Flask application.
6
Access the app: Open http://localhost/ in your browser, start typing text and watch the map update in real time.

Target Users

Researchers and data scientists: You can use prettygraph to quickly convert text data into a visual knowledge graph for easy analysis and understanding.

Educators: In the teaching process, prettygraph can be used as a tool to demonstrate complex concepts and relationships.

Developers: PrettyGraph provides an experimental starting point for developers who want to integrate knowledge graph generation capabilities into their applications.

Examples

Convert the abstract of academic papers into a knowledge graph to help researchers quickly grasp the key points of the article.

In the field of education, textbook content is converted into maps to assist students in memory and understanding.

In business intelligence, market research reports are converted into graphs to reveal market trends and competitive relationships.

Quick Access

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Categories

💻 programming
› AI tools
› AI knowledge graph

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