N-gram Model Prediction

This project uses an N-gram model to predict the next word in a sentence. It's implemented in Python using the NLTK and Streamlit libraries.

Features

• Upload a text file to train the N-gram model.
• Select the 'n' for the N-gram model.
• Enter a sentence for prediction.
• Predict the next set of words based on the input sentence.

How to Run

1. Install the required Python libraries:

pip install nltk streamlit

2. Run the Streamlit app:

streamlit run app.py

Functions

• generate_ngrams(words, n): Generates n-grams from a list of words.
• create_ngram_model(text, n): Creates an N-gram model from a given text.
• predict_next_word(model, prefix): Predicts the next word based on the given model and prefix.
• main(): The main function that runs the Streamlit app.

Files

• app.py: The main Python script that contains the N-gram model and the Streamlit app.
• Text files: Used for training the N-gram model.