Skip to content

danny-1k/autocomplete_hist

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

51 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Autocomplete

Extremely simple(and maybe useless) LSTM model trained on google search history data

Getting started

  1. Get your google search data (only google search)
  2. Put the MyActivity.html file in the data folder
  3. Generate the JSON python src/save_to_json.py
  4. cd src
  5. Create dataset python process_data.py --past_count 4 --freq_tresh 5 --window 1
  6. Train cbow model (for embeddings) python train_cbow.py
  7. Train autocomplete model python train.py
  8. Run web app python app.py

Demo

noodle_demo_one_word.mp4

About

Autocomplete engine trained on my google history

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published