|decoded aa4c40d32c Maple Backup||2 weeks ago|
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|Demo.ipynb||2 weeks ago|
|Dockerfile||2 weeks ago|
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Maxwell is my experiment with Microsoft's DialoGPT model and OpenAI's GPT-2 language model, for use on any discord server. I am planning on fine-tuning much more in the future but for now DialoGPT's model performs admirably. As of 3-2-2020 I am running this model on my old bot, Maple, which you can invite here:
<img width="380" height="140" src="https://discordbotlist.com/bots/571924469661302814/widget" alt="Lithium stats on Discord Bot List">
The recommended python version is 3.6.8.
You can install all requirements with "pip install -r requirements.txt".
python 3.6.8 numpy 1.16.4 torch 1.2.0 transformers 2.3.0 python-telegram-bot 12.3.0 (Only if you are using the telegram bot) discord.py 1.2.5 goolgetrans 2.4.0 (For automatic translation with non-english users) textblob 0.15.3 (Used in some text processing cases) matplotlib 2.0.2 (Used for modeling statistics)
In discord_bot.py, at line 117, replace "TOKEN_GOES_HERE" with your discord bot's API token. The model will automatically download and set up upon the first run of the program; you should be good to go!
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
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.
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.
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
Run the script
# cd gpt2bot/gpt2bot python telegram_bot.py
To test the things out in the console, run
Just start texting. Append @gif for the bot to generate a GIF instead of text. To reset, type "Bye".
You can wait for a full DialoGPT release and then replace the decoder.