readme: Create README.md
  ## Emo Bot
  
  #### Model Description
  This is a finetuned version from GPT-Neo-125M for Generating Music Lyrics by Emo Genre.
  
  #### Training data
  It was trained with 2381 songs by 15 bands that were important to emo culture in the early 2000s, not necessary directly playing on the genre.
  
  #### Training Procedure
  It was finetuned using the Trainer Class available on the Hugging Face library.
  
  ##### Learning Rate: **2e-4**
  ##### Epochs: **40**
  ##### Colab for Finetuning: https://colab.research.google.com/drive/1jwTYI1AygQf7FV9vCHTWA4Gf5i--sjsD?usp=sharing
  ##### Colab for Testing: https://colab.research.google.com/drive/1wSP4Wyr1-DTTNQbQps_RCO3ThhH-eeZc?usp=sharing
  
  #### Goals
  
  My true intention was totally educational, thus making available a this version of the model as a example for future proposes.
  
  How to use
  ``` python
  from transformers import AutoTokenizer, AutoModelForCausalLM
  import re
  
  if torch.cuda.is_available():
      device = torch.device('cuda')
  else:
      device = torch.device('cpu')
  print(device)
  
  tokenizer = AutoTokenizer.from_pretrained("HeyLucasLeao/gpt-neo-small-emo-lyrics")
  model = AutoModelForCausalLM.from_pretrained("HeyLucasLeao/gpt-neo-small-emo-lyrics")
  model.to('cuda')
  
  generated = tokenizer('I miss you',return_tensors='pt').input_ids.cuda()
  
  #Generating texts
  sample_outputs = model.generate(generated, 
                   # Use sampling instead of greedy decoding 
                   do_sample=True, 
                   # Keep only top 3 token with the highest probability
                   top_k=10, 
                   # Maximum sequence length
                   max_length=200, 
                   # Keep only the most probable tokens with cumulative probability of 95%
                   top_p=0.95, 
                   # Changes randomness of generated sequences
                   temperature=2.,
                   # Number of sequences to generate                 
                   num_return_sequences=3)
                   
  # Decoding and printing sequences
  for i, sample_output in enumerate(sample_outputs):
      texto = tokenizer.decode(sample_output.tolist())
      regex_padding = re.sub('<|pad|>', '', texto)
      regex_barra = re.sub('[|+]', '', regex_padding)
      espaço = re.sub('[ +]', ' ', regex_barra)
      resultado = re.sub('[\n](2, )', '\n', espaço)
      print(">> Text {}: {}".format(i+1, resultado + '\n'))
    
  """>> Texto 1: I miss you 
   I miss you more than anything 
   And if you change your mind 
   I do it like a change of mind 
   I always do it like theeah 
   Everybody wants a surprise 
   Everybody needs to stay collected 
   I keep your locked and numbered 
   Use this instead: Run like the wind 
   Use this instead: Run like the sun 
   And come back down: You've been replaced 
   Don't want to be the same 
   Tomorrow 
   I don't even need your name 
   The message is on the way 
   make it while you're holding on 
   It's better than it is 
   Everything more security than a parade 
   Im getting security 
  angs the world like a damned soul 
   We're hanging on a queue 
   and the truth is on the way 
   Are you listening? 
   We're getting security 
   Send me your soldiers 
   We're getting blood on"""
  
  """>> Texto 2: I miss you 
   And I could forget your name 
   All the words we'd hear 
   You miss me 
   I need you 
   And I need you 
   You were all by my side 
   When we'd talk to no one 
   And I 
   Just to talk to you 
   It's easier than it has to be 
   Except for you 
   You missed my know-all 
   You meant to hug me 
   And I 
   Just want to feel you touch me 
   We'll work up 
   Something wild, just from the inside 
   Just get closer to me 
   I need you 
   You were all by my side 
   When we*d talk to you 
  , you better admit 
   That I'm too broken to be small 
   You're part of me 
   And I need you 
   But I 
   Don't know how 
   But I know I need you 
   Must"""
  
  """>> Texto 3: I miss you 
   And I can't lie 
   Inside my head 
   All the hours you've been through 
   If I could change your mind 
   I would give it all away 
   And I'd give it all away 
   Just to give it away 
   To you 
   Now I wish that I could change 
   Just to you 
   I miss you so much 
   If I could change 
   So much 
   I'm looking down 
   At the road 
   The one that's already been 
   Searching for a better way to go 
   So much I need to see it clear 
    topk  wish me an ehive 
   I wish I wish I wish I knew 
   I can give well 
   In this lonely night 
   
   The lonely night 
   I miss you 
   I wish it well  
   If I could change   
   So much 
   I need you"""
  ```