readme: 
  # 🎸 🥁 Rockbot 🎤 🎧 
  A [GPT-2](https://openai.com/blog/better-language-models/) based lyrics generator fine-tuned on the writing styles of 16000 songs by 270 artists across MANY genres (not just rock).
  
  **Instructions:** Type in a fake song title, pick an artist, click "Generate".
  
  Most language models are imprecise and Rockbot is no exception. You may see NSFW lyrics unexpectedly. I have made no attempts to censor. Generated lyrics may be repetitive and/or incoherent at times, but hopefully you'll encounter something interesting or memorable.
  
  Oh, and generation is resource intense and can be slow. I set governors on song length to keep generation time somewhat reasonable. You may adjust song length and other parameters on the left or check out [Github](https://github.com/bigjoedata/rockbot) to spin up your own Rockbot.
  
  Just have fun.
  
  [Demo](https://share.streamlit.io/bigjoedata/rockbot/main/src/main.py) Adjust settings to increase speed
  
  [Github](https://github.com/bigjoedata/rockbot)
  
  [GPT-2 124M version Model page on Hugging Face](https://huggingface.co/bigjoedata/rockbot)
  
  [DistilGPT2 version Model page on Hugging Face](https://huggingface.co/bigjoedata/rockbot-distilgpt2/) This is leaner with the tradeoff being that the lyrics are more simplistic.
  
  🎹 🪘 🎷 🎺 🪗  🪕 🎻
  ## Background
  With the shutdown of [Google Play Music](https://en.wikipedia.org/wiki/Google_Play_Music) I used Google's takeout function to gather the metadata from artists I've listened to over the past several years. I wanted to take advantage of this bounty to build something fun. I scraped the top 50 lyrics for artists I'd listened to at least once from [Genius](https://genius.com/), then fine tuned [GPT-2's](https://openai.com/blog/better-language-models/) 124M token model using the [AITextGen](https://github.com/minimaxir/aitextgen) framework after considerable post-processing. For more on generation, see [here.](https://huggingface.co/blog/how-to-generate)
  
  ### Full Tech Stack
  [Google Play Music](https://en.wikipedia.org/wiki/Google_Play_Music)  (R.I.P.). 
  [Python](https://www.python.org/). 
  [Streamlit](https://www.streamlit.io/). 
  [GPT-2](https://openai.com/blog/better-language-models/). 
  [AITextGen](https://github.com/minimaxir/aitextgen). 
  [Pandas](https://pandas.pydata.org/). 
  [LyricsGenius](https://lyricsgenius.readthedocs.io/en/master/). 
  [Google Colab](https://colab.research.google.com/) (GPU based Training). 
  [Knime](https://www.knime.com/) (data cleaning). 
  
  
  ## How to Use The Model
  Please refer to [AITextGen](https://github.com/minimaxir/aitextgen) for much better documentation.
  
  ### Training Parameters Used
  
      ai.train("lyrics.txt",
               line_by_line=False,
               from_cache=False,
               num_steps=10000,
               generate_every=2000,
               save_every=2000,
               save_gdrive=False,
               learning_rate=1e-3,
               batch_size=3,
               eos_token="<|endoftext|>",
               #fp16=True
               )
  ###  To Use
  
  
      Generate With Prompt (Use Title Case):
      Song Name
      BY
      Artist Name
   
  