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So we have already played with different neural networks. This time I wanted to create a neural entity that would act like a beauty blogger. This meant it would have to post pictures like Instagram influencers do and generate the same kind of narcissistic texts. Initially I planned to post the neural content on Instagram but using the Facebook Graph API which is needed to go beyond read-only was too painful for me. So I reverted to Telegram which is one of my favorite social products overall. So I took the beautiful Stylegan-art repository as the basis for my training. I took the available Instagram dataset and reduced it to x images not to go out of memory during the training. I think the quality of training has suffered due to a lot of different image types selfies, full persons, cats, food, etc. I plan to create more specific datasets for example, only selfies and transfer learn based on them. So I found this little patch which allowed running the generator on a small machine without a GPU. However, when I made my first tests on the smallest GPT-2 with million parameters I immediately liked the quality of the generated texts. I even ended up not fine-tuning the pretrained model further however, I might explore this way in the future. Slightly chaotic babble of the smallest GPT-2 suited the goal just fine. Anyway, the following models are available in the Transformers library along with many other non-GPT ones :. The bot is written in Python using the amazing aiogram framework. It provides asynchronous processing and is very fast. The bot narcissistically enough does not currently listen to the user input and only posts the neural content to its Telegram channel. The main bot application has been containerized with Docker. First, I used the standard Tensorflow and Transformers images on Docker Hub, but ended up multistage building my own images because of the smaller resulting image size. At first, all the containers used the same local bind mount. Then the neural generated content would be saved in the shared folder and picked up by the main app. It worked well, but smelled too much like the s. It is not only modern, fast and pretty but also flexible, so the app can be easily extended with more profound communication logic between the bot and neural networks. The Redis server also runs in its own Docker image. The repo for the whole stuff is available here so feel free to have fun with it! Поиск Профиль. Python Машинное обучение Искусственный интеллект Социальные сети и сообщества. The Beginning So we have already played with different neural networks. Теги: python machine learning stylegan gpt-2 aiogram docker. Хабы: Python Машинное обучение Искусственный интеллект Социальные сети и сообщества. Рейтинг 0. Комментарии Комментарии 1. Комментарии 3. Комментарии 0. Комментарии Больше вакансий на Хабр Карьере. Комментарии 9. Ваш аккаунт Войти Регистрация.

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