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Chatbot that answers frequently asked questions in French, English, and Tunisian using the Rasa NLU framework and RWKV-4-Raven

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karim-aloulou/Espitchatbot-RASA-RAVEN

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ESPRIT

INNOVISION

Espritchatbot V1.1

This is a chatbot designed to answer questions about Esprit University. It was created by a group of Esprit's Students called INNOVISION using the Rasa framework.

The unindexed intents are generated using the RWKV-4-Raven

Prerequirments

Python 3.4+ Virtualenv pip

Installation

To open the chatbot, clone the repository to your local machine:

git clone https://github.com/karim-aloulou/Espritchatbot.git

All of the following will be built into a virtualenv

open the cmd in the root folder do :

cd ../

Then do the follow:

python -m venv myenv

Then activate the environnement

windows :

myenv\Scripts\activate

linux :

source myenv/bin/activate

Make sure you have Python 3.x installed on your machine. You can install the required Python libraries by running:

pip install -r requirements.txt

open the actions folder and drop the RWKV-4-Raven-7B-V10 model

click on it to download

Here we used the V10 99% English 1% other 8192 ctx

you can download and use any other version found HERE

Usage

To use the chatbot, navigate to the Espritchatbot directory and run these following commands:

1- if you are using the chatbot for the first time you will need to train it :

rasa train

2- Run the chatbot :

rasa shell

3- You will need to run the actions

Open another cmd access the root then run :

rasa run actions --port 5055

PS : choose the proper strategy for your own hardware configuration while loading the RWKV model in the actions.py file

Here we tested it with cuda fp16i8 *20+

you can see other options HERE

RWKV python implementation can be found HERE

Hyperparameters of RWKV can be found in the actions.py file

4- Run the chatbot with nlu accuracy:

rasa shell nlu

Credits

Credits for the RWKV-4-Raven model goes to BlinkDL

Credits for Rasa project structure and implementation goes to INNOVISION

INNOVISION Team Members:

  • Med Karim Akkari
  • Nadia Bedhiafi
  • Sarra Gharsallah
  • Karim Aloulou
  • Yosr Abbassi
  • Med Hedi Souissi
  • Aziz Jebabli

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Chatbot that answers frequently asked questions in French, English, and Tunisian using the Rasa NLU framework and RWKV-4-Raven

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