Split Text into Sentences using DeepL's Private API

This Python code snippet demonstrates how to split a given raw text into sentences using DeepL's private API. It utilizes reverse engineering techniques to access DeepL's advanced natural language processing (NLP) features.

Prerequisites

• Python 3.x

Setup

1. Clone the repository:

   git clone https://github.com/devtonic-net/NLPSplitSentencesDeepLAPI.git
   

2. Navigate to the project directory:

   cd NLPSplitSentencesDeepLAPI
   

3. Create a new virtual environment:

   python3 -m venv venv
   

4. Activate the virtual environment:

   For Windows:

   venv\Scripts\activate

   For Unix or Linux:

   source venv/bin/activate

Usage

1. Install the required dependencies:

   pip install -r requirements.txt
   

2. Create a text file called my_text.txt. This file should contain the text you need to split into sentences.

3. In main.py, call the split_sentences() function, passing the raw text as the argument:

   text = get_text("my_text.txt")
   sentences = split_sentences(text)
   
   for index, sentence in enumerate(sentences, start=1):
       print(f"{index}. {sentence}")

This will split the raw text into sentences using DeepL's private API and print them with their respective indices.