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The symbols added to the beginning of each sentence will be ^::^ followed by ^:::^, and the symbol added to the end of each sentence will be $:::$. The purpose of this function is to take input data in the form of a list of lists, and return a copy of that list with symbols added to both ends of each inner list.įor the core, these inner lists will be sentences, which are represented as lists of strings. Explanation of Functions to Implement prepData If that artist is found on, the program will make a folder in the data/lyrics directory for that artist, and save each of the artist’s songs as a. If you navigate to the data/scrapers folder and run the lyricsWikiaScraper.py file, you will be prompted to input the name of an artist. A web scraper is a program that gets information from web pages: ours, which lives in the data/scrapers directory.
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If your group chooses to use lyrics from an artist other than the Beatles, you can use the web scraper we have written to get the lyrics of the new artist and save them in the data/lyrics directory for you. We recommend that you implement the functions in the order they are listed in the spec start with prepData and work your way down to runLyricsGenerator.
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For the core, you will implement the trainLyricsModels, selectNGramModel, generateSentence, and runLyricsGenerator functions these functions will be called, directly or indirectly, by main, which is written for you.
Webscraper python lyrics driver#
In the root CreativeAI repository, there is a file called generate.py, which will be the driver for generating both lyrics and music. You must also complete the trainModel, trainingDataHasNGram, and getCandidateDictionary functions in each of the other three files. You must complete the prepData, weightedChoice, and getNextToken functions in nGramModel.py. In the language-models/folder, you will find four files which contain class definitions: nGramModel.py, unigramModel.py, bigramModel.py, and trigramModel.py. Use of any other external libraries is prohibited on this part of the project. The core does not require you to include any external libraries beyond what has already been included for you. Your understanding of the linked concepts and definitions is crucial to your success, so make sure to understand n-grams, language modeling, Python dictionaries as taught in the warmup, and classes and inheritance in Python before attempting to implement the core. To do this, you will leverage an NLP concept called an n-gram and use an NLP technique called language modeling. This model receives lyric data as input and ultimately generates new lyrics in the style of that artist.
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