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rebrand
This commit is contained in:
bignutty
parent
087583d9ce
commit
528baecb1d
4 changed files with 194 additions and 193 deletions
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@ -1,159 +0,0 @@
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const { createEmbed } = require('../../../labscore/utils/embed')
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const { editOrReply } = require('../../../labscore/utils/message')
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const { STATIC_ICONS } = require('../../../labscore/utils/statics');
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const superagent = require('superagent')
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const { iconPill, stringwrap } = require('../../../labscore/utils/markdown')
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const { Permissions, InteractionCallbackTypes } = require("detritus-client/lib/constants");
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const { Components } = require('detritus-client/lib/utils');
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const { LlmPrivateBard } = require('../../../labscore/api/obelisk');
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const { hasFeature } = require('../../../labscore/utils/testing');
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module.exports = {
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name: 'bard',
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label: 'text',
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metadata: {
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description: `${iconPill("generative_ai", "LIMITED TESTING")}\n\nChat with <:bard:1163200801871765504> Bard.`,
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description_short: 'Chat with Bard.',
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examples: ['bard How many otter species are there?'],
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category: 'limited',
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usage: 'bard <input>'
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},
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args: [],
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permissionsClient: [Permissions.EMBED_LINKS, Permissions.SEND_MESSAGES, Permissions.ATTACH_FILES, Permissions.USE_EXTERNAL_EMOJIS, Permissions.READ_MESSAGE_HISTORY],
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run: async (context, args) => {
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if(!await hasFeature(context, "ai/bard")) return;
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context.triggerTyping();
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if(!args.text) return editOrReply(context, createEmbed("warning", context, `Missing Parameter (text).`))
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let input = args.text;
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try{
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await editOrReply(context, createEmbed("ai_custom", context, STATIC_ICONS.ai_bard))
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let res = await LlmPrivateBard(context, input)
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res = res.response
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let description = []
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let files = [];
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if(!res.body.candidates) return editOrReply(context, createEmbed("error", context, `Bard returned an error. Try again later.`))
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if(res.body.candidates[0].length <= 4000) description.push(res.body.candidates[0])
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else {
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files.push({
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filename: `chat.${Date.now().toString(36)}.txt`,
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value: Buffer.from(res.body.candidates[0])
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})
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}
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if(!res.body.candidates || res.body.candidates?.length <= 1) return editOrReply(context, {
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embeds:[createEmbed("defaultNoFooter", context, {
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author: {
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name: stringwrap(args.text, 50, false),
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iconUrl: STATIC_ICONS.ai_bard_idle
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},
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description: description.join('\n'),
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footer: {
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text: `Bard • Generative AI is experimental. Response may be factually wrong or completely made up.`
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}
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})],
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files
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})
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// Draft support
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else {
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let currentView;
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const components = new Components({
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timeout: 100000,
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run: async (ctx) => {
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if (ctx.userId !== context.userId) return await ctx.respond(InteractionCallbackTypes.DEFERRED_UPDATE_MESSAGE);
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// this sucks but works, ensures the newly selected option stays selected
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for (let i = 0; i < components.components[0].components[0].options.length; i++) {
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components.components[0].components[0].options[i].default = (components.components[0].components[0].options[i].value == ctx.data.values[0])
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}
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draft = res.body.candidates[parseInt(ctx.data.values[0].replace('draft-', ''))]
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description = []
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files = [];
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if(draft.length <= 4000) description.push(draft)
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else {
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files.push({
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filename: `chat.${Date.now().toString(36)}.txt`,
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value: Buffer.from(draft)
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})
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}
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currentView = createEmbed("defaultNoFooter", context, {
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author: {
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name: stringwrap(args.text, 50, false),
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iconUrl: STATIC_ICONS.ai_bard_idle
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},
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description: description.join('\n'),
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footer: {
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text: `Bard • Generative AI is experimental. Response may be factually wrong or completely made up.`
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}
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})
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await ctx.editOrRespond({
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embeds:[currentView],
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files,
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components
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})
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}
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})
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let draftOptions = [];
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for (let i = 0; i < res.body.candidates.length; i++) {
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draftOptions.push({
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label: `Draft ${i + 1}: ${stringwrap(res.body.candidates[i], 50, false)}`,
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value: "draft-" + (i),
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default: false
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})
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}
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components.addSelectMenu({
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placeholder: "View other drafts",
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customId: "bard-drafts",
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options: draftOptions
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})
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setTimeout(()=>{
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editOrReply(context, {
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embeds:[currentView],
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components:[]
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})
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}, 100000)
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currentView = createEmbed("defaultNoFooter", context, {
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author: {
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name: stringwrap(args.text, 50, false),
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iconUrl: STATIC_ICONS.ai_bard_idle
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},
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description: description.join('\n'),
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footer: {
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text: `Bard • Generative AI is experimental. Response may be factually wrong or completely made up.`
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}
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})
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return editOrReply(context, {
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embeds:[currentView],
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files,
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components
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})
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}
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}catch(e){
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if(e.response?.body?.message) return editOrReply(context, createEmbed("warning", context, e.response.body.message))
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console.log(e)
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return editOrReply(context, createEmbed("error", context, `Unable to generate response.`))
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}
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}
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};
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70
commands/message/genai/gemini-pro.js
Normal file
70
commands/message/genai/gemini-pro.js
Normal file
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@ -0,0 +1,70 @@
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const { gemini, LlmModelsGenerate } = require("../../../labscore/api/obelisk");
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const { createEmbed } = require("../../../labscore/utils/embed");
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const { editOrReply } = require("../../../labscore/utils/message");
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const { Permissions } = require("detritus-client/lib/constants");
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const { STATIC_ICONS } = require("../../../labscore/utils/statics");
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const { stringwrap, iconPill, smallIconPill } = require("../../../labscore/utils/markdown");
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const { hasFeature } = require("../../../labscore/utils/testing");
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module.exports = {
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name: 'gemini-pro',
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label: 'text',
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aliases: ['gpro'],
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metadata: {
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description: `${iconPill("generative_ai", "LIMITED TESTING")}\n${smallIconPill("reply", "Supports Replies")}\n\nRun Gemini 1.0 Pro with a custom prompt.`,
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description_short: 'Gemini-1.0-Pro',
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examples: ['gem why do they call it oven when you of in the cold food of out hot eat the food'],
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category: 'limited',
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usage: 'gemini-pro <prompt>'
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},
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permissionsClient: [Permissions.EMBED_LINKS, Permissions.SEND_MESSAGES, Permissions.USE_EXTERNAL_EMOJIS, Permissions.ATTACH_FILES, Permissions.READ_MESSAGE_HISTORY],
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run: async (context, args) => {
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if(!await hasFeature(context, "ai/gemini/text")) return;
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context.triggerTyping();
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if(!args.text) return editOrReply(context, createEmbed("warning", context, `Missing Parameter (text).`))
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let input = args.text;
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try{
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await editOrReply(context, createEmbed("ai_custom", context, STATIC_ICONS.ai_gemini))
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let res = await LlmModelsGenerate(context, "gemini-1.5-pro", input, "BLOCK_NONE")
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let description = []
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let files = [];
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if(res.response.body.message) return editOrReply(context, createEmbed("error", context, e.response.body.message))
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let output = res.response.body.candidates[0]?.output
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if(!output) return editOrReply(context, createEmbed("error", context, `Gemini returned an error. Try again later.`))
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if(output.length <= 4000) description.push(output)
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else {
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files.push({
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filename: `gemini.${Date.now().toString(36)}.txt`,
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value: Buffer.from(output)
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})
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}
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return editOrReply(context, {
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embeds:[createEmbed("defaultNoFooter", context, {
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author: {
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name: stringwrap(input, 50, false),
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iconUrl: STATIC_ICONS.ai_gemini
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},
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description: description.join('\n'),
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footer: {
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text: `Generative AI is experimental • Data submitted to Gemini may be used by Google for training.`
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}
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})],
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files
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})
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} catch(e){
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console.log(e)
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if(e.response?.body?.message) return editOrReply(context, createEmbed("error", context, e.response.body.message))
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return editOrReply(context, createEmbed("error", context, `Unable to generate response.`))
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}
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}
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};
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@ -1,69 +1,159 @@
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const { gemini, LlmModelsGenerate } = require("../../../labscore/api/obelisk");
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const { createEmbed } = require('../../../labscore/utils/embed')
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const { createEmbed } = require("../../../labscore/utils/embed");
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const { editOrReply } = require('../../../labscore/utils/message')
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const { editOrReply } = require("../../../labscore/utils/message");
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const { Permissions } = require("detritus-client/lib/constants");
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const { STATIC_ICONS } = require('../../../labscore/utils/statics');
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const superagent = require('superagent')
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const { iconPill, stringwrap } = require('../../../labscore/utils/markdown')
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const { Permissions, InteractionCallbackTypes } = require("detritus-client/lib/constants");
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const { Components } = require('detritus-client/lib/utils');
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const { LlmPrivateBard } = require('../../../labscore/api/obelisk');
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const { hasFeature } = require('../../../labscore/utils/testing');
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const { STATIC_ICONS } = require("../../../labscore/utils/statics");
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const { stringwrap, iconPill, smallIconPill } = require("../../../labscore/utils/markdown");
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const { hasFeature } = require("../../../labscore/utils/testing");
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module.exports = {
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module.exports = {
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name: 'gemini',
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name: 'gemini',
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label: 'text',
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label: 'text',
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aliases: ['gem'],
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aliases: ["bard","gem"],
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metadata: {
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metadata: {
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description: `${iconPill("generative_ai", "LIMITED TESTING")}\n${smallIconPill("reply", "Supports Replies")}\n\nRun Gemini Pro with a custom prompt.`,
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description: `${iconPill("generative_ai", "LIMITED TESTING")}\n\nChat with <:icoext_gemini:1240316089515249715> Gemini.`,
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description_short: 'Gemini',
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description_short: 'Chat with Gemini.',
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examples: ['gem why do they call it oven when you of in the cold food of out hot eat the food'],
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examples: ['gemini How many otter species are there?'],
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category: 'limited',
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category: 'limited',
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usage: 'gemini <prompt>'
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usage: 'gemini <input>'
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},
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},
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permissionsClient: [Permissions.EMBED_LINKS, Permissions.SEND_MESSAGES, Permissions.USE_EXTERNAL_EMOJIS, Permissions.ATTACH_FILES, Permissions.READ_MESSAGE_HISTORY],
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args: [],
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permissionsClient: [Permissions.EMBED_LINKS, Permissions.SEND_MESSAGES, Permissions.ATTACH_FILES, Permissions.USE_EXTERNAL_EMOJIS, Permissions.READ_MESSAGE_HISTORY],
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run: async (context, args) => {
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run: async (context, args) => {
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if(!await hasFeature(context, "ai/gemini/text")) return;
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if(!await hasFeature(context, "ai/bard")) return;
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context.triggerTyping();
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context.triggerTyping();
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if(!args.text) return editOrReply(context, createEmbed("warning", context, `Missing Parameter (text).`))
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if(!args.text) return editOrReply(context, createEmbed("warning", context, `Missing Parameter (text).`))
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let input = args.text;
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let input = args.text;
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try{
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try{
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await editOrReply(context, createEmbed("ai_custom", context, STATIC_ICONS.ai_gemini))
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await editOrReply(context, createEmbed("ai_custom", context, STATIC_ICONS.ai_bard))
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let res = await LlmModelsGenerate(context, "gemini-1.5-pro", input, "BLOCK_NONE")
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let res = await LlmPrivateBard(context, input)
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res = res.response
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let description = []
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let description = []
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let files = [];
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let files = [];
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if(res.response.body.message) return editOrReply(context, createEmbed("error", context, e.response.body.message))
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if(!res.body.candidates) return editOrReply(context, createEmbed("error", context, `Bard returned an error. Try again later.`))
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let output = res.response.body.candidates[0]?.output
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if(res.body.candidates[0].length <= 4000) description.push(res.body.candidates[0])
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if(!output) return editOrReply(context, createEmbed("error", context, `Gemini returned an error. Try again later.`))
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if(output.length <= 4000) description.push(output)
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else {
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else {
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files.push({
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files.push({
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filename: `gemini.${Date.now().toString(36)}.txt`,
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filename: `chat.${Date.now().toString(36)}.txt`,
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value: Buffer.from(output)
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value: Buffer.from(res.body.candidates[0])
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})
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})
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}
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}
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return editOrReply(context, {
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if(!res.body.candidates || res.body.candidates?.length <= 1) return editOrReply(context, {
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embeds:[createEmbed("defaultNoFooter", context, {
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embeds:[createEmbed("defaultNoFooter", context, {
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author: {
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author: {
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name: stringwrap(input, 50, false),
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name: stringwrap(args.text, 50, false),
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iconUrl: STATIC_ICONS.ai_gemini
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iconUrl: STATIC_ICONS.ai_bard_idle
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},
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},
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description: description.join('\n'),
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description: description.join('\n'),
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footer: {
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footer: {
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text: `Generative AI is experimental • Data submitted to Gemini may be used by Google for training.`
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text: `Gemini • Gemini may display inaccurate info, so double-check its responses.`
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}
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}
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})],
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})],
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files
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files
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})
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})
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// Draft support
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else {
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let currentView;
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|
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const components = new Components({
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timeout: 100000,
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run: async (ctx) => {
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if (ctx.userId !== context.userId) return await ctx.respond(InteractionCallbackTypes.DEFERRED_UPDATE_MESSAGE);
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|
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// this sucks but works, ensures the newly selected option stays selected
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for (let i = 0; i < components.components[0].components[0].options.length; i++) {
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components.components[0].components[0].options[i].default = (components.components[0].components[0].options[i].value == ctx.data.values[0])
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}
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draft = res.body.candidates[parseInt(ctx.data.values[0].replace('draft-', ''))]
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|
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||||||
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description = []
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files = [];
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if(draft.length <= 4000) description.push(draft)
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else {
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files.push({
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||||||
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filename: `chat.${Date.now().toString(36)}.txt`,
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||||||
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value: Buffer.from(draft)
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||||||
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})
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||||||
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}
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||||||
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||||||
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currentView = createEmbed("defaultNoFooter", context, {
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||||||
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author: {
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||||||
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name: stringwrap(args.text, 50, false),
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||||||
|
iconUrl: STATIC_ICONS.ai_bard_idle
|
||||||
|
},
|
||||||
|
description: description.join('\n'),
|
||||||
|
footer: {
|
||||||
|
text: `Bard • Generative AI is experimental. Response may be factually wrong or completely made up.`
|
||||||
|
}
|
||||||
|
})
|
||||||
|
|
||||||
|
await ctx.editOrRespond({
|
||||||
|
embeds:[currentView],
|
||||||
|
files,
|
||||||
|
components
|
||||||
|
})
|
||||||
|
}
|
||||||
|
})
|
||||||
|
|
||||||
|
let draftOptions = [];
|
||||||
|
for (let i = 0; i < res.body.candidates.length; i++) {
|
||||||
|
draftOptions.push({
|
||||||
|
label: `Draft ${i + 1}: ${stringwrap(res.body.candidates[i], 50, false)}`,
|
||||||
|
value: "draft-" + (i),
|
||||||
|
default: false
|
||||||
|
})
|
||||||
|
}
|
||||||
|
|
||||||
|
components.addSelectMenu({
|
||||||
|
placeholder: "View other drafts",
|
||||||
|
customId: "bard-drafts",
|
||||||
|
options: draftOptions
|
||||||
|
})
|
||||||
|
|
||||||
|
setTimeout(()=>{
|
||||||
|
editOrReply(context, {
|
||||||
|
embeds:[currentView],
|
||||||
|
components:[]
|
||||||
|
})
|
||||||
|
}, 100000)
|
||||||
|
|
||||||
|
currentView = createEmbed("defaultNoFooter", context, {
|
||||||
|
author: {
|
||||||
|
name: stringwrap(args.text, 50, false),
|
||||||
|
iconUrl: STATIC_ICONS.ai_bard_idle
|
||||||
|
},
|
||||||
|
description: description.join('\n'),
|
||||||
|
footer: {
|
||||||
|
text: `Bard • Generative AI is experimental. Response may be factually wrong or completely made up.`
|
||||||
|
}
|
||||||
|
})
|
||||||
|
|
||||||
|
return editOrReply(context, {
|
||||||
|
embeds:[currentView],
|
||||||
|
files,
|
||||||
|
components
|
||||||
|
})
|
||||||
|
}
|
||||||
}catch(e){
|
}catch(e){
|
||||||
|
if(e.response?.body?.message) return editOrReply(context, createEmbed("warning", context, e.response.body.message))
|
||||||
|
|
||||||
console.log(e)
|
console.log(e)
|
||||||
if(e.response?.body?.message) return editOrReply(context, createEmbed("error", context, e.response.body.message))
|
|
||||||
return editOrReply(context, createEmbed("error", context, `Unable to generate response.`))
|
return editOrReply(context, createEmbed("error", context, `Unable to generate response.`))
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
|
||||||
|
|
@ -141,12 +141,12 @@ const Statics = Object.freeze({
|
||||||
revision: 0
|
revision: 0
|
||||||
},
|
},
|
||||||
ai_bard: {
|
ai_bard: {
|
||||||
file: "icons/core/ico_bard_loading.gif",
|
file: "_gemini/gspark_processing.zk25zt28.gif",
|
||||||
revision: 0
|
revision: 1
|
||||||
},
|
},
|
||||||
ai_bard_idle: {
|
ai_bard_idle: {
|
||||||
file: "icons/core/ico_bard_idle.gif",
|
file: "_gemini/gspark_idle.10dm7yti7.gif",
|
||||||
revision: 0
|
revision: 1
|
||||||
},
|
},
|
||||||
ai_clyde: {
|
ai_clyde: {
|
||||||
file: "brands/_clyde/clyde_generating.gif",
|
file: "brands/_clyde/clyde_generating.gif",
|
||||||
|
|
|
||||||
Loading…
Add table
Add a link
Reference in a new issue