Resolving anaphora

NIPS Challenge Docker container

This repository contains the Dockerfile and setup code to run chat bot in docker instance.

Telegram bot @conv_test. Make sure to have an username registered in Telegram, and then start conversation with \begin.

bot.py : Main entry point of the chat bot, message selection logic can be implemented here.
models/ : Folder where model code is stored
data/ : Folder where data files are stored
config.py : Configuration script, which has the location of data files as well as bot tokens. Replace the bot token with your ones to test.
models/wrappper.py - Wrapper function which calls the models. Must implement get_response def.
models/setup - shell script to download the models
data/setup - shell script to download the data files and saved model files
model_selection.py - Selection logic for best answer

After installing docker, build the image from this directory using the following command: docker build -t convai .
Docker will create a virtual container with all the dependencies needed.
Docker will autostart the bot whenever the container is run: docker run convai

In models/setup, add the repository of your model (should be a public repository for now) to clone.
In data/setup, add the data location to download your saved model data
Change the config.py with the endpoint of the data
Create a wrapper in models/wrapper.py for your model
Modify the model_selection.py to call your model.

Feel free to open an issue or submit a PR.

Nips ConvAI Challenge McGill RLLDialog Team