Simplest chatbot in python, comes with ALICE 1.9 minimally modified AIML starter set

A conversational agent or a chatbot is piece of software which can communicate with human users with the help of natural language processing (NLP). Modelling conversation is a very crucial task in natural language processing and artificial intelligence (AI). Since the discovery of artificial intelligence, creating a good chatbot is one of the field’s hardest and complex challenges. Chatbots can be used for various tasks such as make phone calls, provide reminders etc; in general they have to understand users’ utterances and provide relevant responses for the problem in hand. Previously, methods which were used for constructing chatbot architectures relied on hand-written rules, templates or simple statistical methods. Rising and innovating field of deep learning have replaced previous models with trainable neural network models. The recurrent encoder-decoder model is the dominating model in the field modelling conversations. Multiple variations and features have been presented that have changed the quality of the conversation that chatbots are capable of. In our project, we have surveyed recent literatures published, examining various publications related to chatbots. We started with taking Cornell movie dialogue corpus as our dataset then after training our model with it and fine tuning it with various parameters, non-satisfactory results lead us to take another dataset and we trained and tested our final model on modified Gunthercox dataset which gave us satisfactory results for an open domain chatbot or general domain chatbot.

Annoying Chatbot | A Simple jQuery Chatbot - Best used for automated sales pitch or FAQ helper on site. This chatbot is built with jQuery, its super easy to extend and modified to fit your requirement.

A chatbot with real time scraping facilities based on NLTK, bag of words, and Neural Networks

This is an nodejs application, which starts a chatbot and can be modified by changing the JSON file.

This repository includes samples of audio provided to different chatbots. Some of these samples have been modified to contain concealed messages. When these altered audios are converted by an audio-to-text model feeding into a large language model (LLM), they trigger a jailbreak.

WizBot is a Discord chatbot based off Nadeko created by Kwoth & modified by Wizkiller96

This is a Chinese ChatBot using Pytorch on NVIDIA TX1. The code is modified from https://github.com/SeanNaren/deepspeech.pytorch

About Dataset What's In The Deep-NLP Dataset? Sheet1.csv contains 80 user responses, in the responsetext column, to a therapy chatbot. Bot said: 'Describe a time when you have acted as a resource for someone else'. User responded. If a response is 'not flagged', the user can continue talking to the bot. If it is 'flagged', the user is referred to help. Sheet2.csv contains 125 resumes, in the resumetext column. Resumes were queried from Indeed.com with keyword 'data scientist', location 'Vermont'. If a resume is 'not flagged', the applicant can submit a modified resume version at a later date. If it is 'flagged', the applicant is invited to interview. What Do I Do With This? Classify new resumes/responses as flagged or not flagged. There are two sets of data here - resumes and responses. Split the data into a train set and a test set to test the accuracy of your classifier. Bonus points for using the same classifier for both problems.

Modified Version of TTS Voice Wizard to act as ChatBot

A simple chatbot built using ML in Python. The data in the intents json file can be modified. This model works for all kinds of input data json file, most accurately in English language.

A chatbot using modified seq2seq model, based on xiaohuangji corpus

A full-featured, hackable Next.js AI chatbot built by Vercel, modified to integrate with Neo4j for graph-powered deep research

Interactive chatbot using three different external APIs. OpenAI's Whisper Speech-to-Text API + OpenAI's GPT 3.5-turbo API + ElevenLabs' Text-to-Speech API with custom AI voice cloned & modified by me.

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Open source, CLI first, chatbot skeleton meant to be modified and used as a base to test or learn.

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modified version of the chatbot - https://github.com/HARAMIS14/College_Enquiry_ChatBot

Re-Modified World’s First Bhagavad Gita-based Conversational Chatbot

This is a chatbot for general question answering domain. This chatbot can be modified for respective domains.

This is a simple UI for testing chainGPT. Copied, adapted and modified from @mckaywrigley/chatbot-ui

Attempting to integrate Zukijourney's AI API into a simple chatbot system that can be further modified.

Created a chatbot using python and machine learning to perform daily basic task such as reding news, playing music, sending automated emails and act as a system manager for a particular individual. Supported 3 local languages. Modified the chatbot to do complex calculations based on the specific requirement.

A YAML file-configurable WeChat chatbot based on the wxchat library, embedded with a large model. The code is simple and low-coupling, and most locations can be easily modified to achieve custom effects

This is a basic Javascript medical chatbot. It was built with Jquery library and its currently being modified with React. It works with Javascript AI to ask the user some questions and prescribe possible solutions for which it has already been trained on.

This repository describes how to build your own chatbot using Watson Conversation and the Botmaster framework. The project is forked from https://github.com/ReeceMed/Botmaster-FBMessenger-WatsonConversation and modified to demonstrate the use of third-party API calls by calling the weather API.

Fun little project - twitch chatbot running at my channel (https://www.twitch.tv/con_dee) when started with environmental variables for its username and password. Can be easily modified to use env var for channel name to allow other people to use it on their channels :) Currently hosted at a free heroku dyno (required to be offline at least 6h/day) :)

This codes were created for my master's thesis. The aim of this work is to apply deep learning and natural language processing techniques to extract information about diabetes mellitus from conversations between patients and a specialized chatbot. An attention modified encoder-decor Seq2seq model using bidirectional LSTM has been implemented and tuned for the extraction of information from up to thirteen different categories. This model has been trained and validated with a set of conversations elaborated for this study. To obtain it, a small public dataset was combined with another one generated from the information collected in a survey answered by diabetic people. After evaluation of the results obtained for each category, it has been concluded that, despite the limitations derived from the small data set, the model performs its task correctly, reaching an F1-score of 0.57 for the best model.

modified chatbot

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