Chatbot Training Data Formatter

README

Overview

This Python script is designed to generate an intents.json file for training a chatbot. The script reads questions and answers from two separate text files, groups them into intents, and writes the intents to a JSON file. Each intent consists of a list of patterns (questions) and a list of responses (answers). The chatbot can use this file to learn conversation patterns, understand how certain questions might be phrased, and learn possible ways to answer them.

Chatbot trained with resulting data

https://mediafiles.botpress.cloud/a65bb32e-7d9c-40c0-8615-6fb2aa1b6489/webchat/bot.html - In Progress

Please, be a bit patient with it

How to Use

1. Prepare two text files: one containing the questions and the other containing the answers. Each question and answer should be on a separate line. The questions and answers should be in the same order in both files.

2. Update the readFile function calls in the main function with the paths to your question and answer files:

questions = readFile('path_to_your_question_file')
answers = readFile('path_to_your_answer_file')

3. Run the script. The script will read the questions and answers, group them into intents, and write the intents to a JSON file named bom_deus.json.

Functions

• readFile(file): Reads a text file and returns a list of lines.
• create_an_intent(questions, answers, file_delimiter): Creates an intent from the given questions and answers. An intent is a dictionary with a 'tag', 'patterns', and 'responses'. The 'patterns' are the questions and the 'responses' are the answers.
• refine_read_file_data(train_Qs, train_As, file_delimiter): Refines the read file data into intents.
• main(): The main function that reads the question and answer files, creates the intents, and writes them to a JSON file.

Output

The output is a JSON file named bom_deus.json. This file contains the intents created from the questions and answers. Each intent is a dictionary with a 'tag', 'patterns', and 'responses'. The 'patterns' are the questions and the 'responses' are the answers. This file can be used to train a chatbot to understand and respond to various conversation patterns.

Note

This script uses the collections.deque class for efficient removal of elements from the front of the list (which is used in the create_an_intent function). It also uses the json module to write the intents to a JSON file. Make sure these modules are available in your Python environment.