Conversational-AI-ChatBot - Intelligent ChatBot built with Microsoft's DialoGPT transformer to make conversations with human users!

Overview

Conversational AI ChatBot

Intelligent ChatBot built with Microsoft's DialoGPT transformer to make conversations with human users!

In this project?

This project builds an intelligent AI chatbot based on the famous transformer architecture - Microsoft's DialoGPT. According to Hugging Face's model card, DialoGPT is a State-Of-The-Art large-scale pretrained dialogue response generation model for multiturn conversations. The human evaluation results indicate that the response generated from DialoGPT is comparable to human response quality under a single-turn conversation Turing test. The model is trained on 147M multi-turn dialogue from Reddit discussion thread.

This repository contains:

Conversational_AI_ChatBot.py - A Python version of ChatBot

conversational-ai-chatbot.ipynb - A Interactive Notebook version of ChatBot

requirements.txt - Explores Python libraries requirements to run the project

What is a chatbot?

A ChatBot is a kind of virtual assistant that can build conversations with human users! A Chatting Robot. Building a chatbot is one of the popular tasks in Natural Language Processing.

Are all chatbots the same?

Chatbots fall under three common categories:
1. Rule-based chatbots
2. Retrieval-based chatbots
3. Intelligent chatbots

Rule-based chatbots

These bots respond to users' inputs based on certain pre-specified rules. For instance, these rules can be defined as if-elif-else statements. While writing rules for these chatbots, it is important to expect all possible user inputs, else the bot may fail to answer properly. Hence, rule-based chatbots do not possess any cognitive skills.

Retrieval-based chatbots

These bots respond to users' inputs by retrieving the most relevant information from the given text document. The most relevant information can be determined by Natural Language Processing with a scoring system such as cosine-similarity-score. Though these bots use NLP to do conversations, they lack cognitive skills to match a real human chatting companion. The Wiki-IR-ChatBot, built by Author, falls under this category!

Intelligent AI chatbots

These bots respond to users' inputs after understanding the inputs, as humans do. These bots are trained with a Machine Learning Model on a large training dataset of human conversations. These bots are cognitive to match a human in conversing. Amazon's Alexa, Apple's Siri fall under this category. Further, most of these bots can make conversations based on the preceding chat texts (chat history). This Conversation AI ChatBot is a kind of an intelligent chatbot!

Sample Chats by this project

chat1

chat2

Happy Chatting!

cover image

Image by Andy Kelly
Owner
Rajkumar Lakshmanamoorthy
Data Scientist, Machine Learning Engineer
Rajkumar Lakshmanamoorthy
TensorFlow code and pre-trained models for BERT

BERT ***** New March 11th, 2020: Smaller BERT Models ***** This is a release of 24 smaller BERT models (English only, uncased, trained with WordPiece

Google Research 32.9k Jan 08, 2023
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

CRNN paper:An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition 1. create your ow

Tsukinousag1 3 Apr 02, 2022
Code for EMNLP 2021 main conference paper "Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification"

Code for EMNLP 2021 main conference paper "Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification"

LancoPKU 105 Jan 03, 2023
Training code for Korean multi-class sentiment analysis

KoSentimentAnalysis Bert implementation for the Korean multi-class sentiment analysis 왜 한국어 감정 다중분류 모델은 거의 없는 것일까?에서 시작된 프로젝트 Environment: Pytorch, Da

Donghoon Shin 3 Dec 02, 2022
Mysticbbs-rjam - rJAM splitscreen message reader for MysticBBS A46+

rJAM splitscreen message reader for MysticBBS A46+

Robbert Langezaal 4 Nov 22, 2022
Coreference resolution for English, French, German and Polish, optimised for limited training data and easily extensible for further languages

Coreferee Author: Richard Paul Hudson, Explosion AI 1. Introduction 1.1 The basic idea 1.2 Getting started 1.2.1 English 1.2.2 French 1.2.3 German 1.2

Explosion 70 Dec 12, 2022
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.

🤗 Contributing to OpenSpeech 🤗 OpenSpeech provides reference implementations of various ASR modeling papers and three languages recipe to perform ta

Openspeech TEAM 513 Jan 03, 2023
CMeEE 数据集医学实体抽取

医学实体抽取_GlobalPointer_torch 介绍 思想来自于苏神 GlobalPointer,原始版本是基于keras实现的,模型结构实现参考现有 pytorch 复现代码【感谢!】,基于torch百分百复现苏神原始效果。 数据集 中文医学命名实体数据集 点这里申请,很简单,共包含九类医学

85 Dec 28, 2022
🐍 A hyper-fast Python module for reading/writing JSON data using Rust's serde-json.

A hyper-fast, safe Python module to read and write JSON data. Works as a drop-in replacement for Python's built-in json module. This is alpha software

Matthias 479 Jan 01, 2023
This repository contains the code, models and datasets discussed in our paper "Few-Shot Question Answering by Pretraining Span Selection"

Splinter This repository contains the code, models and datasets discussed in our paper "Few-Shot Question Answering by Pretraining Span Selection", to

Ori Ram 88 Dec 31, 2022
Nystromformer: A Nystrom-based Algorithm for Approximating Self-Attention

Nystromformer: A Nystrom-based Algorithm for Approximating Self-Attention April 6, 2021 We extended segment-means to compute landmarks without requiri

Zhanpeng Zeng 322 Jan 01, 2023
Code for the paper "Language Models are Unsupervised Multitask Learners"

Status: Archive (code is provided as-is, no updates expected) gpt-2 Code and models from the paper "Language Models are Unsupervised Multitask Learner

OpenAI 16.1k Jan 08, 2023
Addon for adding subtitle files to blender VSE as Text sequences. Using pysub2 python module.

Import Subtitles for Blender VSE Addon for adding subtitle files to blender VSE as Text sequences. Using pysub2 python module. Supported formats by py

4 Feb 27, 2022
translate using your voice

speech-to-text-translator Usage translate using your voice description this project makes translating a word easy, all you have to do is speak and...

1 Oct 18, 2021
This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.

Speech-Backbones This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab. Grad-TTS Official implementation of the Grad-

HUAWEI Noah's Ark Lab 295 Jan 07, 2023
An assignment on creating a minimalist neural network toolkit for CS11-747

minnn by Graham Neubig, Zhisong Zhang, and Divyansh Kaushik This is an exercise in developing a minimalist neural network toolkit for NLP, part of Car

Graham Neubig 63 Dec 29, 2022
Pre-training with Extracted Gap-sentences for Abstractive SUmmarization Sequence-to-sequence models

PEGASUS library Pre-training with Extracted Gap-sentences for Abstractive SUmmarization Sequence-to-sequence models, or PEGASUS, uses self-supervised

Google Research 1.4k Dec 22, 2022
WikiPron - a command-line tool and Python API for mining multilingual pronunciation data from Wiktionary

WikiPron WikiPron is a command-line tool and Python API for mining multilingual pronunciation data from Wiktionary, as well as a database of pronuncia

213 Jan 01, 2023
A fast and lightweight python-based CTC beam search decoder for speech recognition.

pyctcdecode A fast and feature-rich CTC beam search decoder for speech recognition written in Python, providing n-gram (kenlm) language model support

Kensho 315 Dec 21, 2022
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation

SHAS: Approaching optimal Segmentation for End-to-End Speech Translation In this repo you can find the code of the Supervised Hybrid Audio Segmentatio

Machine Translation @ UPC 21 Dec 20, 2022