💳 Next Words Predictors-

A Interactive Web App that predict three possible next words to complete that sentences.

Demo Pictures

Yt Video Link

Watch the demo on YouTube

📑 Table of Contents

• Project Overview
• Dataset
• Tools & Technologies
• Project Structure
• How to start

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🔹Project Overview

The goal of this project to create a web app to predict the next three words using LSTM.

🔹Dataset

• Source of the dataset : 1661-0.txt

• This is ebook of story of Sherlock Holmes.

🔹Tools & Technologies

• Python
• LSTM
• Numpy
• Pandas
• Matplotlib
• tensorflow
• keras

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🔹Project Structure

NextWordPredictor/
├── UserInternface.py                 # Main Streamlit application
├── 1660-0.txt                       # raw text data
├── nextWordPredictionUsingLstm.ipynb      # LSTM Model Training 
├── requirements.txt           # Install Dependencies
├── test/                   # to test it 
├── README.md            # This file for overview
├── tokenizer.pkl         # this is tokenizer to convert into text - embedding 
│
└── .gitignore      # do not consider the virtual environments

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🔹How to Start

1. create a virtual environment and activate it .

python -m venv <environment-name>
myenv\Scripts\activate

2. clone the repository

git clone https://github.com/Sachin2095/NextWordPredictor.git 

3. Install Dependencies

pip install -r requirements.txt

4. Run the notebook nextWordPredictionUsingLstm.ipynb

5. Open the App Using UserInternface.py

6. Open Browser and go to Local Host

   http://localhost:5000