In this tutorial, we provide an introduction to AI and Chatbots. We developed a simple Chatbot and its documentation, we used neural layers to process messages sent by a user. In this way, it was possible to achieve the desired objective of responding to a user with responses from our training base.
Neste tutorial, fornecemos uma introdução à IA e aos Chatbots. Desenvolvemos um chatbot simples e sua documentação, utilizamos camadas neurais para processar as mensagens enviadas por um usuário. Desta forma, foi possível atingir o objetivo pretendido de responder a um usuário com respostas da nossa base de dados.
- Python 3
- Dictionaries & Lists
- Numpy
- Pandas
- Pytorch
- Natural Language Processing (Bag of Words)
- Anaconda
- VScode
This repo currently contains the starter files.
Clone repo and create a virtual environment
git clone https://github.com/ARRETdaniel/22-2_AI.git
cd chatbot-deployment
*create a virtual environment on Anaconda
python3 -m venv venv
ou
conda activate pytorch MORE INFO: https://cran.r-project.org/web/packages/rTorch/vignettes/installation.html
$ . venv/bin/activate
Install dependencies
$ (venv) pip install Flask torch torchvision nltk
Install nltk package
$ (venv) python
>>> import nltk
>>> nltk.download('punkt')
Modify intents.json with different intents and responses for your Chatbot
Run
$ (venv) python train.py
This will dump data.pth file. And then run the following command to test it in the console.
$ (venv) python chat.py
running...
hi - :)