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https://gitlab.com/bignutty/labscore.git
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vercel wins
This commit is contained in:
derpystuff
parent
27bc88ea15
commit
e0aadaa2cf
7 changed files with 0 additions and 320 deletions
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@ -1,12 +0,0 @@
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module.exports = {
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description: 'Generate text via Large Language Models',
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name: 'gpt',
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options: [
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require('../subcommands/gpt/chatgpt'),
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require('../subcommands/gpt/stablelm'),
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require('../subcommands/gpt/davinci3'),
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//require('../subcommands/gpt/claude'),
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//require('../subcommands/gpt/claude-instant'),
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require('../subcommands/gpt/alpaca')
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]
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};
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const { Constants } = require('detritus-client');
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const { InteractionCallbackTypes, ApplicationCommandOptionTypes } = Constants;
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const { AI_GPT_MODEL_CONFIG } = require("../../../../labscore/constants");
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const superagent = require('superagent')
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const { createEmbed } = require('../../../../labscore/utils/embed');
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const { codeblock } = require('../../../../labscore/utils/markdown');
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const { format } = require('../../../../labscore/utils/ansi');
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module.exports = {
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description: 'Alpaca-7b (Replicate alpaca-7b)',
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name: 'alpaca',
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type: ApplicationCommandOptionTypes.SUB_COMMAND,
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options: [
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{
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name: 'prompt',
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description: 'Prompt',
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type: ApplicationCommandOptionTypes.STRING,
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required: true,
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maxLength: 256
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}
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],
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run: async (context, args) => {
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const MODEL = "replicate:replicate/alpaca-7b"
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try{
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let s = Date.now()
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await context.respond({data: {}, type: InteractionCallbackTypes.DEFERRED_CHANNEL_MESSAGE_WITH_SOURCE})
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let res = await superagent.get(`${process.env.AI_SERVER}/gpt`)
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.query({
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model: MODEL,
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prompt: args.prompt
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})
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await context.editOrRespond({
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embeds: [createEmbed("default", context, {
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footer: {
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iconUrl: `https://derpystuff.gitlab.io/webstorage4/v2/assets/icons/ai/ico_ai_${AI_GPT_MODEL_CONFIG[MODEL].icon}.png`,
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text: `${AI_GPT_MODEL_CONFIG[MODEL].name} • ${context.application.name}`,
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},
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description: codeblock("ansi", [format(args.prompt, "cyan") + res.body.response.substr(0, 1024).replace(/\\n/g,'\n')])
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})]
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})
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}catch(e){
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console.log(e)
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await context.editOrRespond({
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embeds: [createEmbed("error", context, "Unable to generate response. Try again in a bit.")]
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})
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}
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},
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};
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const { Constants } = require('detritus-client');
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const { InteractionCallbackTypes, ApplicationCommandOptionTypes } = Constants;
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const { AI_GPT_MODEL_CONFIG } = require("../../../../labscore/constants");
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const superagent = require('superagent')
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const { createEmbed } = require('../../../../labscore/utils/embed');
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const { codeblock } = require('../../../../labscore/utils/markdown');
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module.exports = {
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description: 'ChatGPT (OpenAI gpt-3.5-turbo)',
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name: 'chatgpt',
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type: ApplicationCommandOptionTypes.SUB_COMMAND,
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options: [
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{
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name: 'prompt',
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description: 'Prompt',
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type: ApplicationCommandOptionTypes.STRING,
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required: true,
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maxLength: 256
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}
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],
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run: async (context, args) => {
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const MODEL = "openai:gpt-3.5-turbo"
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try{
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let s = Date.now()
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await context.respond({data: {}, type: InteractionCallbackTypes.DEFERRED_CHANNEL_MESSAGE_WITH_SOURCE})
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let res = await superagent.get(`${process.env.AI_SERVER}/gpt`)
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.query({
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model: MODEL,
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prompt: args.prompt
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})
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await context.editOrRespond({
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embeds: [createEmbed("default", context, {
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footer: {
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iconUrl: `https://derpystuff.gitlab.io/webstorage4/v2/assets/icons/ai/ico_ai_${AI_GPT_MODEL_CONFIG[MODEL].icon}.png`,
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text: `${AI_GPT_MODEL_CONFIG[MODEL].name} • ${context.application.name}`,
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},
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description: codeblock("ansi", [res.body.response.substr(0, 1024).replace(/\\n/g,'\n')])
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})]
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})
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}catch(e){
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console.log(e)
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await context.editOrRespond({
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embeds: [createEmbed("error", context, "Unable to generate response. Try again in a bit.")]
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})
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}
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},
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};
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const { Constants } = require('detritus-client');
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const { InteractionCallbackTypes, ApplicationCommandOptionTypes } = Constants;
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const { AI_GPT_MODEL_CONFIG } = require("../../../../labscore/constants");
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const superagent = require('superagent')
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const { createEmbed } = require('../../../../labscore/utils/embed');
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const { codeblock } = require('../../../../labscore/utils/markdown');
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module.exports = {
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description: 'Claude Instant (Anthropic claude-instant-v1)',
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name: 'claude-instant',
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type: ApplicationCommandOptionTypes.SUB_COMMAND,
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options: [
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{
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name: 'prompt',
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description: 'Prompt',
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type: ApplicationCommandOptionTypes.STRING,
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required: true,
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maxLength: 256
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}
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],
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run: async (context, args) => {
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const MODEL = "anthropic:claude-instant-v1"
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try{
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let s = Date.now()
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await context.respond({data: {}, type: InteractionCallbackTypes.DEFERRED_CHANNEL_MESSAGE_WITH_SOURCE})
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let res = await superagent.get(`${process.env.AI_SERVER}/gpt`)
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.query({
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model: MODEL,
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prompt: args.prompt
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})
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await context.editOrRespond({
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embeds: [createEmbed("default", context, {
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footer: {
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iconUrl: `https://derpystuff.gitlab.io/webstorage4/v2/assets/icons/ai/ico_ai_${AI_GPT_MODEL_CONFIG[MODEL].icon}.png`,
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text: `${AI_GPT_MODEL_CONFIG[MODEL].name} • ${context.application.name}`,
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},
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description: codeblock("ansi", [res.body.response.substr(0, 1024).replace(/\\n/g,'\n')])
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})]
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})
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}catch(e){
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console.log(e)
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await context.editOrRespond({
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embeds: [createEmbed("error", context, "Unable to generate response. Try again in a bit.")]
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})
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}
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},
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};
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const { Constants } = require('detritus-client');
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const { InteractionCallbackTypes, ApplicationCommandOptionTypes } = Constants;
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const { AI_GPT_MODEL_CONFIG } = require("../../../../labscore/constants");
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const superagent = require('superagent')
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const { createEmbed } = require('../../../../labscore/utils/embed');
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const { codeblock } = require('../../../../labscore/utils/markdown');
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module.exports = {
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description: 'Claude (Anthropic claude-v1)',
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name: 'claude',
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type: ApplicationCommandOptionTypes.SUB_COMMAND,
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options: [
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{
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name: 'prompt',
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description: 'Prompt',
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type: ApplicationCommandOptionTypes.STRING,
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required: true,
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maxLength: 256
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}
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],
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run: async (context, args) => {
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const MODEL = "anthropic:claude-v1"
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try{
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let s = Date.now()
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await context.respond({data: {}, type: InteractionCallbackTypes.DEFERRED_CHANNEL_MESSAGE_WITH_SOURCE})
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let res = await superagent.get(`${process.env.AI_SERVER}/gpt`)
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.query({
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model: MODEL,
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prompt: args.prompt
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})
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await context.editOrRespond({
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embeds: [createEmbed("default", context, {
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footer: {
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iconUrl: `https://derpystuff.gitlab.io/webstorage4/v2/assets/icons/ai/ico_ai_${AI_GPT_MODEL_CONFIG[MODEL].icon}.png`,
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text: `${AI_GPT_MODEL_CONFIG[MODEL].name} • ${context.application.name}`,
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},
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description: codeblock("ansi", [res.body.response.substr(0, 1024).replace(/\\n/g,'\n')])
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})]
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})
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}catch(e){
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console.log(e)
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await context.editOrRespond({
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embeds: [createEmbed("error", context, "Unable to generate response. Try again in a bit.")]
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})
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}
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},
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};
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const { Constants } = require('detritus-client');
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const { InteractionCallbackTypes, ApplicationCommandOptionTypes } = Constants;
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const { AI_GPT_MODEL_CONFIG } = require("../../../../labscore/constants");
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const superagent = require('superagent')
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const { createEmbed } = require('../../../../labscore/utils/embed');
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const { codeblock } = require('../../../../labscore/utils/markdown');
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module.exports = {
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description: 'GPT-3 (OpenAI text-davinci-003)',
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name: 'gpt3',
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type: ApplicationCommandOptionTypes.SUB_COMMAND,
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options: [
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{
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name: 'prompt',
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description: 'Prompt',
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type: ApplicationCommandOptionTypes.STRING,
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required: true,
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maxLength: 256
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}
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],
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run: async (context, args) => {
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const MODEL = "openai: text-davinci-003"
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try{
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let s = Date.now()
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await context.respond({data: {}, type: InteractionCallbackTypes.DEFERRED_CHANNEL_MESSAGE_WITH_SOURCE})
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let res = await superagent.get(`${process.env.AI_SERVER}/gpt`)
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.query({
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model: MODEL,
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prompt: args.prompt
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})
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await context.editOrRespond({
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embeds: [createEmbed("default", context, {
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footer: {
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iconUrl: `https://derpystuff.gitlab.io/webstorage4/v2/assets/icons/ai/ico_ai_${AI_GPT_MODEL_CONFIG[MODEL].icon}.png`,
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text: `${AI_GPT_MODEL_CONFIG[MODEL].name} • ${context.application.name}`,
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},
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description: codeblock("ansi", [res.body.response.substr(0, 1024).replace(/\\n/g,'\n')])
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})]
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})
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}catch(e){
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console.log(e)
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await context.editOrRespond({
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embeds: [createEmbed("error", context, "Unable to generate response. Try again in a bit.")]
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})
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}
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},
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};
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const { Constants } = require('detritus-client');
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const { InteractionCallbackTypes, ApplicationCommandOptionTypes } = Constants;
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const { AI_GPT_MODEL_CONFIG } = require("../../../../labscore/constants");
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const superagent = require('superagent')
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const { createEmbed } = require('../../../../labscore/utils/embed');
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const { codeblock } = require('../../../../labscore/utils/markdown');
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const { format } = require('../../../../labscore/utils/ansi');
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module.exports = {
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description: 'StableLM (Stability AI stablelm-tuned-alpha-7b)',
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name: 'stablelm',
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type: ApplicationCommandOptionTypes.SUB_COMMAND,
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options: [
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{
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name: 'prompt',
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description: 'Prompt',
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type: ApplicationCommandOptionTypes.STRING,
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required: true,
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maxLength: 256
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}
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],
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run: async (context, args) => {
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const MODEL = "replicate:stability-ai/stablelm-tuned-alpha-7b"
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try{
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let s = Date.now()
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await context.respond({data: {}, type: InteractionCallbackTypes.DEFERRED_CHANNEL_MESSAGE_WITH_SOURCE})
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let res = await superagent.get(`${process.env.AI_SERVER}/gpt`)
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.query({
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model: MODEL,
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prompt: args.prompt
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})
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await context.editOrRespond({
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embeds: [createEmbed("default", context, {
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footer: {
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iconUrl: `https://derpystuff.gitlab.io/webstorage4/v2/assets/icons/ai/ico_ai_${AI_GPT_MODEL_CONFIG[MODEL].icon}.png`,
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text: `${AI_GPT_MODEL_CONFIG[MODEL].name} • ${context.application.name}`,
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},
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description: codeblock("ansi", [res.body.response.substr(0, 1024).replace(/\\n/g,'\n')])
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})]
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})
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}catch(e){
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console.log(e)
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await context.editOrRespond({
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embeds: [createEmbed("error", context, "Unable to generate response. Try again in a bit.")]
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})
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}
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},
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};
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