NLTK corpus deployment Chatterbot Heroku

Question

I have a problem with my first Telegram chatbot, done with Chatterbot library.

My project is composed by:

• Procfile
• requirements (txt file)
• telegramtoken (txt file)
• runtime (txt file)
• nltk (txt file)
• botusers (csv file)
• magghybot (py file)
• Magghy (py file)
• conversations (yml file in a folder named lang)
• math_words (json file in a folder named lang)

I deployed my project on Heroku but there is this problem:

Counting objects: 3, done.
Delta compression using up to 4 threads.
Compressing objects: 100% (2/2), done.
Writing objects: 100% (3/3), 275 bytes | 0 bytes/s, done.
Total 3 (delta 1), reused 0 (delta 0)
remote: Compressing source files... done.
remote: Building source:
remote: 
remote: -----> Python app detected
remote: -----> Installing requirements with pip
remote: 
remote: -----> Downloading NLTK corpora…
remote:  !     'nltk.txt' not found, not downloading any corpora
remote:  !     Learn more: https://devcenter.heroku.com/articles/python-nltk
remote: -----> Discovering process types
remote:        Procfile declares types -> worker
remote: 
remote: -----> Compressing...
remote:        Done: 47.3M
remote: -----> Launching...
remote:        Released v5
remote:        https://magghy.herokuapp.com/ deployed to Heroku
remote: 
remote: Verifying deploy.... done.
To https://git.heroku.com/magghy.git
   2cdd74d..254cbad  master -> master

I do not know what NLTK corpus to insert. My corpus to which the chatbot must refer are in the files named "conversations" (yml file) and "math_words" (json file).

How do I proceed from here?

Answer 1

Use this link instead of Heroku/python in buildpack:

https://github.com/heroku/heroku-buildpack-python.git

For example: