![]() The bot itself is based on DialoGPT, a large-scale dialogue response generation model trained on 147M multi-turn dialogue from Reddit discussion threads. pip install transformersįor this part of the tutorial we will use two invaluable helpers that will save us a lot of time and effort by providing frameworks for the virtual chatbot and its implementation as a Flask web app. If you run into trouble installing it, please check the Troubleshooting section below for some tips and tricks on how to get it working. python3 -m pip install torch=1.9.0 -f įinally we will need the Hugging Face transformers library, which will allow us to download and run the pre-trained language model. You can go back to an older, stable version instead. Installing Pytorch is a bit more difficult, as the newest version did not run on the RPI when I tried it. Regardless of which version of Python you are using, once the virtual environment is active, always use the pip command (not pip3). Now you can install the remaining libraries you will require for the chatbot to work. Make sure that you are in the virtual environment: a (chatbotenv) tag should be visible in your command line. We will deploy the chatbot in a virtual environment to ensure it’s appropriately separated from system processes.Īs we are going to deploy the bot on our Apache server later, I’m already creating my folder in the /var/Next we will initiate the virtual environment so that we can load all further libraries into it. ![]() Sudo apt-get install python3-pip python3-dev build-essential libssl-dev libffi-dev python3-setuptools I encourage you to watch the original videos for more information.įirst you will have to ensure that all required packages are installed on your Raspberry Pi. This tutorial was heavily inspired by a fantastic DeepLearning.AI FourthBrain workshop on how to build and deploy a chatbot in no time. Setting up the system and virtual environment
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