Metadata-Version: 2.1
Name: twilight-autocomplete
Version: 1.0.1
Summary: Autocomplete Package built using NLTK for the twilight messaging client
Home-page: UNKNOWN
Author: Avneh Singh Bhatia
Author-email: avnehb@gmail.com
License: UNKNOWN
Description: # **Twilight-Autocomplete**
        
        ## _Twilight-Autocomplete is a powerful Python library that provides intelligent autocomplete functionality for text-based applications. Whether you're working on a chatbot, text editor, or any other application that requires intelligent text completion, ## Twilight-Autocomplete has got you covered. Developed by Avneh S. Bhatia, this library leverages the power of NLP and machine learning techniques to predict the next word in a sentence based on a given context._
        
        ## **Features**
        ## * _Efficient training of language models using the nltk library_
        ## * _Support for n-gram language models for accurate predictions_
        ## * _Simple and intuitive interface for easy integration into existing projects_
        ## * _Customizable n-gram size to adapt to different language patterns_
        ## * _Supports context-aware predictions for enhanced accuracy_
        
        ## **Installation**
        
        ## You can install Twilight-Autocomplete using _pip_:
        
            $ pip install twilight-autocomplete
        
        ## Make sure you have the nltk library installed as well:
        
            $ pip install nltk
        
        ## **Usage**
        ## Using Twilight-Autocomplete is straightforward. Here's an example:
        
            from twilight_autocomplete import train_model, predict_next_word, auto_complete
        
            #Train the model with an n-gram size of 3
            n = 3
            model = train_model(n)
        
            #Example usage
            input_sentence = "I want to "
            next_word = auto_complete(input_sentence, model, n)
            print(next_word)
        
        ## The above code demonstrates how to train a language model using the train_model function, and then use it to predict the next word in a sentence using the auto_complete function. The n parameter specifies the n-gram size, which determines the context used for prediction.
        
        # **Contributing**
        ## We welcome contributions from the open-source community to make Twilight-Autocomplete even better. If you have any bug reports, feature requests, or improvements, please submit them to the GitHub repository: **https://github.com/RedMythic1/twilight-autocomplete**
        
        ## When contributing, please follow the existing code style and include tests for any new features or bug fixes. We appreciate your help in making Twilight-Autocomplete an exceptional tool for text autocomplete. 
        
        # **License**
        
        ## Twilight-Autocomplete is licensed under the MIT License. See the LICENSE file for more information.
        
        # **Contact**
        ## For any inquiries or feedback, feel free to reach out to Avneh S. Bhatia at avnehb@example.com.
        
        
        # **Acknowledgements**
        ## I would like to thank the nltk development team for their excellent work on the Natural Language Toolkit, which forms the foundation of Twilight-Autocomplete.
Platform: UNKNOWN
Description-Content-Type: text/markdown
