Metadata-Version: 2.1
Name: SentenceGraph
Version: 0.0.3
Summary: Easily create semantic graphs from text using SentenceTransformers
Home-page: https://github.com/Hevia/SentenceGraph
Author: Hevia
Author-email: anthony@hevia.dev
License: Apache Software License 2.0
Description: SentenceGraph
        ================
        
        <!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
        
        ## Install
        
        ``` sh
        pip install SentenceGraph
        ```
        
        ## How to use
        
        Fill me in please! Don’t forget code examples:
        
        ``` python
        from SentenceGraph.core import SentenceGraph, Format
        ```
        
        ``` python
        sentenceGraph = SentenceGraph()
        ```
        
        ``` python
        sentences = ['This framework generates embeddings for each input sentence',
            'Sentences are passed as a list of string.', 
            'The quick brown fox jumps over the lazy dog.']
        ```
        
        ``` python
        sim_graph = sentenceGraph.createGraph(sentences)
        sim_graph
        ```
        
        You can also return a graph matrix in different formats.
        
        ``` python
        sim_graph = sentenceGraph.createGraph(sentences, format=Format.Numpy)
        sim_graph
        ```
        
Keywords: nbdev jupyter notebook python
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Provides-Extra: dev
