Let Me Answer For You
A deep learning dialog system that answers specific and complex questions.
Built on top of the deeppavlov library
The library can be found on PyPI so you can just run:
pip install let_me_answer_for_you
After the package is installed, download the file
chatbot.py of the GitHub repository and run:
After the installation process is finished, the following interface appears:
In the first example, neither the FAQ or context datasets have samples. After the first context is added, it appears as a reponse to the typed answer. The second example adds a new question-answer pair. The context of the first example also provides an answer.
The Chatbot is based on two types of question/answer models:
The first type of models can answer several questions from the same context, while the second type is very useful for specific and complex questions. It is strongly recommended to consult the deeppavlov library for further details of the available models for dialog systems.
Structure of the Package
chatbot.py file of the repo, calls the
ChatBot class in
chatbot and is the child of the
DialogSystem class in
dialog_system. This last class has the three main methods of the library:
The first method retrieves a set of answers for a given question. The second method adds a new question-answer pair to the FAQ data and retrains the model. The third method adds a new context to the context data. These are the methods that may be exported as the API calls.
The library has been tested in
A container with all the configurations installed is available:
docker pull ejimenezr/dialog_system