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.
- Register a new Telegram bot via BotFather (see https://core.telegram.org/bots)
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.
- 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
- 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
Just start texting. Append @gif for the bot to generate a GIF instead of text. To reset, type "Bye".
- 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.
You can wait for a full DialoGPT release and then replace the decoder.