![]() This way, we can easily stop the text generation when these characters are met. This chitchat is insignificant and should be as neutral as possible in order not to have any impact on the rest of the conversation.Īlso note that we force the model to add "#" at the end of each generated response. The idea here is to show the text generation model that we want to be in a conversational mode. You noticed that we need to manually initialize a chat discussion with some chitchat. ![]() History = history.slice(charsCount-(1500 * 4)) in order to be safe since the tokens count is not perfectly accurate. The theoretical GPT context limit is 2048 tokens but we choose 1500 tokens instead Keep the bot running indefinitely with Uptime Robot. Build a Discord bot in either Python or JavaScript, your choice Set up the Discord bot's permissions so they don't spam non-bot channels Host the bot on. If the chat history is bigger than 1500 tokens, we remove the oldest elements from Deploy the model to Hugging Face, an AI model hosting service. Because ChatGPT isn't the only hat in the ring. But it's perfectly valid to take a break to see what other AI chatbots are available. It's helping millions of people write content, solve coding problems, and create games, among other ridiculous and impressive things. Add the request and response to the chat history. By Miguel Rebelo JBored with ChatGPT Of course you aren't. Both Discord and NLP Cloud have Node.js clients, so the development will be very easy.Ĭonst NLPCloudClient = require('nlpcloud') Ĭonst ` '\nResponse:' Ĭonst response = await nlpCloudClient.generation(finalContent,0,200,true,'#',true,true)
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |