svirmi / gpt2bot

Your new Telegram buddy trained on Reddit discussions using DialoGPT

gpt2bot

User >>> Can we achieve singularity?
Bot >>> What does this mean?
User >>> Can computers become smarter than humans?
Bot >>> Is there any evidence that this is possible?
User >>> It must be doable
Bot >>> But... how?
User >>> I want to find out, that's why I created you
Bot >>> You created me?
User >>> You're my bot
Bot >>> You monster

gpt2bot implements

• a decoder (source) for DialoGPT,
• an interactive multiturn chatbot (source), and
• a Telegram chatbot (source).

The bot is built around DialoGPT - a large-scale pretrained dialogue response generation model trained by Microsoft, which was trained on 147M multi-turn dialogue from Reddit discussion thread. The human evaluation results indicate that its quility is comparable to human response quality under a single-turn conversation Turing test.

Since even with properly filtered Reddit dataset the model can generate toxic/inappropriate responses, the Microsoft team was unable to provide the decoding script. This repository implements the decoding script inspired by run_generation.py released earlier by Hugging Face. Moreover, it implements a Telegram bot that can be deployed locally, remotely, and even on Colab, and just makes testing fun.

How to use?

1. Create a Telegram bot

• Register a new Telegram bot via BotFather (see https://core.telegram.org/bots)

2. Deploy the bot

Google Colab

A Colab interactive notebook

A good thing about Google Colab is free GPU. So why not running the Telegram bot there, for blazingly fast chat? Run the notebook at daytime and do not forget to stop it at night.

Docker

• Clone the repository
• Set your parameters such as API token in dialog.cfg
• To avoid re-downloading model files at each re-deployment, download the model files beforehand with

# cd gpt2bot/gpt2bot
python model.py

• Finally, deploy the container from the root folder

docker build -t gpt2bot . && docker run gpt2bot

Manually

• Clone the repository
• Set your parameters such as API token in dialog.cfg
• Install packages listed in requirements.txt
• Run the script

# cd gpt2bot/gpt2bot
python telegram_bot.py

• To test the things out in the console, run

python interactive_bot.py

3. Start chatting!

Just start texting. Append @gif for the bot to generate a GIF instead of text. To reset, type "Bye".

Updates

18/01/2020

• EOS token is being checked during generation -> gpt2bot is now fast enough to be run on CPU.
• Add support for maximum mutual information (MMI) -> more quality, but slower.

References

• Official DialoGPT implementation and DialoGPT paper
• Thread on current decoding scripts

You can wait for a full DialoGPT release and then replace the decoder.