Integrates a RASA bot with the Telegram API.
You must create a Telegram bot through BotFather. After creating a bot, you will be provided of its API key. This key will be later used in the main.py script.
Python 3.7 and pip3 should be installed in your system. Also, Ngrok should be installed and accessible through the ngrok command.
To install rasa-x, rasa with spacy, and rasa_core, run:
pip3 install rasa-x --extra-index-url https://pypi.rasa.com/simple
pip3 install rasa[spacy]
pip3 install rasa_core
python3.7 -m spacy download en_core_web_md
python3.7 -m spacy link en_core_web_md en --force
To install flask, run:
pip3 install flask
Train RASA NLU and RASA core by running:
python3.7 -m rasa_nlu.train -c config.yml --data data/nlu.md -o models --fixed_model_name nlu --project rasa-telegram-app --verbose
python3.7 -m rasa_core.train -d domain.yml -s data/stories.md -o models/rasa-telegram-app/core
Start a ngrok service on port 5000 and copy the HTTPs forwarding link (ex.: https://xxxxxxxx.ngrok.io):
ngrok http 5000
In a new terminal, start the action server:
python3.7 -m rasa_core_sdk.endpoint --actions actions
In another terminal, start the Telegram bot:
python3.7 main.py --token <TOKEN> --tunnel <TUNNEL>
where <TOKEN> should be replaced by the API key provided by BotFather and <TUNNEL> should be replaced by the link you copied from the ngrok command.
Find the bot on Telegram by its username and then start a conversation. Once you start, the value of the global variable current_chat will be available.
Make a POST request to http://localhost:5000/info with the data below. You can use Postman to test the endpoint. The chat_id, question, and response fields are required. If you do not know your chat_id, you can access it through the global variable current_chat.
{
"chat_id": "76418699/filipefalcaos",
"question": "How much does a fork cost?",
"response": [
{
"id": 1561,
"name": "Fork",
"value": "R$ 150,00"
}
]
}