duttarnab / rasa-data-import-demo

This is a simple test for Rasa Custom Importer to get training data from GitHub repo

This is a smiple test for Custom importer to get training data from github

This git repo contains tje following

• the Training data in YAML format data/{nlu.yml, stories.yml, rules.yml} and domain/{domain.yml}

• the Training data in JSON format json_data/{nlu.yml, stories.yml, rules.yml, domain.yml}

• The Custom importer script (custom_importer.py)

• Two sperate Scripts to convert data from JSON to YAML and vice versa

• The configuration file (config.yaml)

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In order to Test the Importer

• Install and init Rasa
• Add the custom Importer in you rasa project directories
• Add the Importer in the config file

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Install and init Rasa

To install Rasa on Ubuntu we should first install a modern python version.

• To install Rasa on Ubuntu we should first install a modern python version.

# First we should update apt, just in case.
sudo apt update
# Install python
sudo apt install python3-dev python3
# Once it is installed you should be able to confirm the versions.
python3 --version 
pip3 --version

• Now that we have these tools installed we can create a folder for our Rasa project.

# Create and Enter Folders
mkdir rasaprojects 
cd rasaprojects
# Next we install python3-pip so that we can install python packages
sudo apt install python3-venv
# We can now create a virtualenv 
python3 -m venv ./venv

• With our virtualenv available we can now active it and install Rasa.

# Source the virtualenv
source ./venv/bin/activate
# Install Rasa and Upgrade pip 
python -m pip install --upgrade pip rasa
# Our `python` now refers to the python version in the virtualenv.
# From here you should be able to use Rasa
python -m rasa --help
python -m rasa init

• Now we can use rasa train and rasa shell

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Add the custom Importer in you rasa project directories

• Creat a new python file called custom_importer.py
• copy the content from same file from the git repo

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Add the Importer in the config file

• Open config.yaml and add the importer section
• The defult importer used with rasa is the RasaFileImporter

importers:
- name: "RasaFileImporter"

• Add the Custom importer and add a repository parametar (one indent)

• But there the git repo name in this case the repo name is AbdelwahabAdam/hopa-rasa-demo

importers:
- name: "custom_importer.MyImporter"
  repository: "AbdelwahabAdam/hopa-rasa-demo"

• NOTE
  • you can add the defult importer as well and rasa will combine the both, but Data directory must be there in your project dir.

importers:
- name: "RasaFileImporter"
- name: "custom_importer.MyImporter"
  repository: "AbdelwahabAdam/hopa-rasa-demo"

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To tran you bot from git data

• First call rasa train
• Then if every thing works well call rasa shell to test the bot in the terminal

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