switch to poetry, upgrade dependencies

README.md

@@ -6,16 +6,17 @@ The chatbot has been trained on an edited conversation using material from this
 In order to run the project locally, you will need to take the following steps:
 
 1. git clone project on your local machine
-2. create virtual environment in Terminal or Command Prompt: `python3 -m venv anticorruption-bot`
+2. create virtual environment in Terminal or Command Prompt: `python -m venv anticorruption-bot`
 3. activate virtual environment: 
    - Mac command: `source anticorruption-bot/bin/activate`
    - Windows command: `anticorruption-bot\Scripts\activate`
-4. install requirements: `pip install -r requirements.txt`
-5. change database_uri in line 11 of bot.py module to your database location, or remove to use default sqlite3 database.
-6. sign up to [Twilio](https://www.twilio.com/try-twilio) & follow instructions
-7. download ngrok
-8. in the Terminal/Command Prompt window where you activated the virtual env, run command: `python3 bot.py`
-9. open new Terminal/Command Prompt window, cd in the folder where you unzipped ngrok download, run command: `ngrok http 500`
-10. Copy paste the http ngrok URL mapped to localhost:5000 in Twilio WhatsApp Sandbox Settings, against the input required for WHEN A MESSAGE COMES IN form field.
+4. install [Poetry dependency management tool](https://python-poetry.org/docs/1.2/#installation)
+5. install requirements: `poetry install`
+6. change `database_uri` in line 11 of bot.py module to your database location, or remove to use default sqlite3 database.
+7. sign up to [Twilio](https://www.twilio.com/try-twilio) & follow instructions
+8. download ngrok
+9. in the Terminal/Command Prompt window where you activated the virtual env, run command: `python3 bot.py`
+10. open new Terminal/Command Prompt window, cd in the folder where you unzipped ngrok download, run command: `ngrok http 500`
+11. copy-paste the http ngrok URL mapped to `localhost:5000` in Twilio WhatsApp Sandbox Settings, against the input required for WHEN A MESSAGE COMES IN form field.
 
 Enjoy!

bot.py

@@ -2,7 +2,6 @@
 from twilio.twiml.messaging_response import MessagingResponse
 from chatterbot import ChatBot
 from chatterbot.trainers import ListTrainer
-from chatterbot.trainers import ChatterBotCorpusTrainer
 import os
 
 chatbot = ChatBot("Anticorruption",
@@ -16,9 +15,6 @@
     BotMemory = open('base/' + knowledge, 'r').readlines()
     trainer.train(BotMemory)
 
-# corpus_trainer = ChatterBotCorpusTrainer(chatbot)
-# corpus_trainer.train("chatterbot.corpus.english")
-
 app = Flask(__name__)