Simple character recommender for story writing. Built at Hack@Brown 2018.

• Training data comes from Nate the Snake
  • Label is each character in the text
  • Features are the previous num_previous characters (defined in utils.py)
• Logistic regression model trained on data using one-hot encodings for the characters
• Flask server allows user to interact with the trained model

• Create a virtualenv (virtualenv env)
• Activate virtualenv (source env/bin/activate)
• Download dependencies (pip install -r requirements.txt)

• Paste training data into text.txt
• Change paramters in utils.py
• Run python fileparse.py to generate the csv in training_data.csv
• Run python train_model.py to train and save model to model.pkl

• Run python web.py
• Go to localhost:5000

• Webcrawl wikipedia for more training data