• make chat UI into a flask object
• add intent to log output to make it easier to track
• load images, webpages, etc. from intent
• bind chat bot to telegram or similar
• check for cyrillic support with NLTK\

• center the UI in the screen
• I've received some index out of range errors. Need to set up error catching.
• clean up the UI
• done in the code: pop responses so that users don't necessarily see same response twice in the same session
• call function from intent
• set up a requirements document (poetry? requirements.txt?)
• figure out a json UI
  • It's really not convenient to work with json though editing the json file here in repl.it is not hard.

• convert UI from tk to pysimple GUI: Thanks Horst!
• response intent is included in the chat UI: Thanks Horst!
• get logging to work: Thanks Horst!
  • Generates a log file with time stamp
  • I need to see how the chat brain is parsing input.
  • I don't see any evidence in the code for recording what the users type
• bind return key in UI to send user input: Thanks Horst!

Creating a simple Python chatbot using natural language processing and deep learning.

1. run the libraries.py first Check your dependencies. A requirements file or poetry config would be useful here.

2. update the intents.json file

3. run train_chatbot.py

4. run chatgui.py

• How to call a Python function from a json file?
• how to process logs more effectively?

• the intents file is to support chatbot for a Toastmasters club.
• convert_json_to_csv.py I found this on the web here https://datatofish.com/json-string-to-csv-python/ and was hoping a csv file would be easier to edit than json. No such luck.