Music helper chatbot using NLP

This project is built using MITIE: MIT Information Extraction (https://github.com/mit-nlp/MITIE) and Last FM API (https://www.last.fm/api).

Music helper chatbot is a simple python chatbot, which provides brief information about artists, albums, songs and tags. Using MITIE bot analyzes user's input and then sends a request using Last FM API. Then bot analyzes received document in JSON format and provides user requested information.

Using Music Helper

Next instruction was partly taken from the official MITIE repository (https://github.com/mit-nlp/MITIE).

Initial Setup

Before you can run the provided examples you will need to download the trained model files which you can do by running:

make MITIE-models

or by simply downloading the MITIE-models-v0.2.tar.bz2 file and extracting it in your MITIE folder.

Compiling MITIE as a shared library

On a UNIX like system, this can be accomplished by running make in the top level MITIE folder or by running:

cd mitielib
make

This produces shared and static library files in the mitielib folder. Or you can use CMake to compile a shared library by typing:

cd mitielib
mkdir build
cd build
cmake ..
cmake --build . --config Release --target install

Either of these methods will create a MITIE shared library in the mitielib folder. Once you have built the MITIE shared library, you can go to the MITIE/examples/python folder and run .py scripts there.

LastFM API key adding

In order to use this chatbot you'll need LastFM API key. Get it here: https://www.last.fm/api. Once you have it, navigate to MITIE/examples/python/chat_ai.py, find a variable named "API" and write down your API key.

Chatbot running

When you've done all the steps above simply run chatterbot.py or chatterbot_gui.py from the MITIE/examples/python folder. It'll take ~40 min to train and create new model. When you'll have a model, you can just comment the line corresponding for training in chatterbot.py and chatterbot_gui.py.