Python library for RDF Schemas generation from prompts using GPT-3 magic 🪄🪄🪄
Project description
SchemaGPT
Note: The generated RDF Schemas are not 100% accurate and may require manual correction.
SchemaGPT is a Python library that utilizes the power of OpenAI's GPT-3 and schema.org vocabulary to generate RDF Schemas from natural language.
The library aims to simplify the process of creating RDF Schemas by automatically generating them from a user-defined description written in natural language.
The generated Schemas are in the form of RDF, a popular data model for semantic web technologies, making it easier for developers to work with linked data.
Who can benefit from using this library?
Anyone who wants to simplify the process of creating RDF Schemas for linked data can benefit from using the SchemaGPT library. This includes software developers, data scientists, semantic web practitioners, and anyone else who needs to work with RDF data. The library is especially useful for those who are not familiar with the intricacies of RDF Schema creation, as it provides a way to generate Schemas from a natural language description, making the process much easier and faster.
Installation
To install SchemaGPT, simply run the following command using pip
:
pip install schemagpt
or using Poetry
:
poetry add schemagpt
Usage
Using SchemaGPT is straightforward. Here's a simple example:
from schemagpt import SchemaGPT
generator = SchemaGPT(<YOUR_OPENAI_API_KEY>)
schema = generator.schema("Tesla Model X")
print(schema)
This will generate the following RDF Schema:
{
"@context": "https://schema.org",
"@type": "Car",
"name": "Tesla Model X",
"brand": {
"@type": "Brand",
"name": "Tesla"
},
"model": "Model X"
}
Features
Feature | Status |
---|---|
Schemas generation/updates using natural language | :white_check_mark: |
Schemas validation/fixes (according to schema.org) with Pydantic | :construction: |
Supported formats for RDF Schemas
Format | Description | Status |
---|---|---|
RDF/XML | The standard XML format for RDF | :x: |
Turtle | A terse, human-readable RDF syntax | :x: |
N-Triples | A line-based, plain-text format for RDF | :x: |
N-Quads | A line-based, plain-text format for RDF with context information | :x: |
JSON-LD | A JSON-based format for RDF | :white_check_mark: |
Contribution
SchemaGPT is open-source. If you have an idea for a new feature, or you've found a bug, please feel free to open an issue or submit a pull request.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file schemagpt-0.1.0.tar.gz
.
File metadata
- Download URL: schemagpt-0.1.0.tar.gz
- Upload date:
- Size: 4.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.3.1 CPython/3.11.0 Darwin/22.2.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0da3a54039fb53ffb94a30a9d788f08611d380f241578528be4c219f31d2643f |
|
MD5 | 146913d9396716a9c24e22130ab6e38a |
|
BLAKE2b-256 | 8989d0e072d08f11bd20b7faabdd953f91f17aff4999c5ded2643688f8fe39e2 |
File details
Details for the file schemagpt-0.1.0-py3-none-any.whl
.
File metadata
- Download URL: schemagpt-0.1.0-py3-none-any.whl
- Upload date:
- Size: 5.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.3.1 CPython/3.11.0 Darwin/22.2.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3910c4113e483c24612c751fc443dcf987dbd410852cb094d5981f746e1ea65f |
|
MD5 | d051cb0b2d8169a6c6abb17d0f1371d1 |
|
BLAKE2b-256 | c274cb932b2e5fd3ea25a65d427d8ac840ad2f7d72d3d19b813d381ec6383c54 |