The ChatBot code creates a dialogue where users can ask questions about some aspects of memory management in C++. After the knowledge base of the chatbot has been loaded from a text file, a knowledge graph representation is created in computer memory, where chatbot answers represent the graph nodes and user queries represent the graph edges. After a user query has been sent to the chatbot, the Levenshtein distance is used to identify the most probable answer.
In this project I optimized the ChatBot program from a memory management perspective. There are a total of five specific tasks to I completed, which are detailed below.
- cmake >= 3.11
- All OSes: click here for installation instructions
- make >= 4.1 (Linux, Mac), 3.81 (Windows)
- Linux: make is installed by default on most Linux distros
- Mac: install Xcode command line tools to get make
- Windows: Click here for installation instructions
- gcc/g++ >= 5.4
- Linux: gcc / g++ is installed by default on most Linux distros
- Mac: same deal as make - install Xcode command line tools
- Windows: recommend using MinGW
- wxWidgets >= 3.0
- Linux:
sudo apt-get install libwxgtk3.0-dev libwxgtk3.0-0v5-dbg - Mac: There is a homebrew installation available.
- Installation instructions can be found here. Some version numbers may need to be changed in instructions to install v3.0 or greater.
- Linux:
- Clone this repo.
- Make a build directory in the top level directory:
mkdir build && cd build - Compile:
cmake .. && make - Run it:
./membot.