ChatterBot

ChatterBot is a machine-learning based conversational dialog engine build in Python which makes it possible to generate responses based on collections of known conversations. The language independent design of ChatterBot allows it to be trained to speak any language.

An example of typical input would be something like this:

user: Good morning! How are you doing?
bot: I am doing very well, thank you for asking.
user: You're welcome.
bot: Do you like hats?

Basic Usage

check examples

Training data

Chatterbot comes with a data utility module that can be used to train chat bots. At the moment there is three languages, English, Spanish and Portuguese training data in this module. Contributions of additional training data or training data in other languages would be greatly appreciated. Take a look at the data files in the chatterbot/corpus directory if you are interested in contributing.

# Train based on the english corpus
chatbot.train("chatterbot.corpus.english")

# Train based on english greetings corpus
chatbot.train("chatterbot.corpus.english.greetings")

# Train based on the english conversations corpus
chatbot.train("chatterbot.corpus.english.conversations")

flask-chatterbot

A web implementation of ChatterBot using Flask.

Local Setup:

1. Ensure that Python, Flask, and ChatterBot are installed.
2. Run app.py ( in backend: nohup python app.py & )
3. Base URL will be http://localhost:5000/
4. try chat in terminal? python interact_run.py

Usage example:

• [/get/how are you?](http://localhost:5000/get/how are you?)
• Browser handles whitespace for you (/get/how%20are%20you?)
• Returns raw response (ex: I am good).

all install under ubuntu ( python3 for chinese? )

pip install -r requirements
sudo python setup.py install

for chinese:
sudo apt-get install python3-pip
pip3 install -r requirements
python3 install failed but it's okay as they are under same dir to run python3 cn_app.py