Building a chatbot can sound daunting, but it’s totally doable. IKY is an AI powered conversational dialog interface built in Python. With IKY it’s easy to create Natural Language conversational scenarios with no coding efforts whatsoever. The smooth UI makes it effortless to create and train conversations to the bot and it continuously gets smarter as it learns from conversations it has with people. IKY can live on any channel of your choice (such as Messenger, Slack etc.) by integrating it’s API with that platform.
You don’t need to be an expert at artificial intelligence to create an awesome chatbot that has artificial intelligence. With this basic project you can create an artificial intelligence powered chatting machine in no time.There may be scores of bugs. So feel free to contribute via pull requests.
docker-compose build docker-compose up
docker build -t "ai-chat-bot" . docker run --name=chabot-node-1 -e="APPLICATION_ENV=Production" -v ./:/usr/src/app -p 8001:8080 -it ai-chat-bot gunicorn --bind 0.0.0.0:8080 run:app docker exec -it chabot-node-1 python /usr/src/app/setup.py
pip install -r requirements.txt
$ python setup.py
$ python run.py
$ APPLICATION_ENV="Production" gunicorn -k gevent --bind 0.0.0.0:8001 run:app
class Production(Config): # MongoDB Database Details DB_HOST = "mongodb://127.0.0.1:27017/" DB_USERNAME = "" DB_PASSWORD = "" # Web Server details WEB_SERVER_PORT = 80 class Development(Config): DEBUG = True
docker-compose exec mongodb bash cd data/ mongodump exit docker cp aichatbotframework_mongodb_1:/data/dump .
docker cp dump aichatbotframework_mongodb_1:/data/ docker-compose exec mongodb bash cd data mongorestore --drop --db=iky-ai --dir=dump/iky-ai/ exit
Checkout this basic tutorial on youtube,
Watch tutorial on Fullfilling your Chatbot Intent with an API Call - Recipe Search Bot
Please visit my website to see my personal chatbot in action
Free Software, Hell Yeah!
Made with ❤️ at God's Own Country.