mirror of
https://gitlab.com/bignutty/labscore.git
synced 2025-06-08 22:23:03 -04:00
vercel wins
This commit is contained in:
derpystuff
parent
27bc88ea15
commit
e0aadaa2cf
7 changed files with 0 additions and 320 deletions
|
|
@ -1,12 +0,0 @@
|
|||
module.exports = {
|
||||
description: 'Generate text via Large Language Models',
|
||||
name: 'gpt',
|
||||
options: [
|
||||
require('../subcommands/gpt/chatgpt'),
|
||||
require('../subcommands/gpt/stablelm'),
|
||||
require('../subcommands/gpt/davinci3'),
|
||||
//require('../subcommands/gpt/claude'),
|
||||
//require('../subcommands/gpt/claude-instant'),
|
||||
require('../subcommands/gpt/alpaca')
|
||||
]
|
||||
};
|
||||
|
|
@ -1,52 +0,0 @@
|
|||
const { Constants } = require('detritus-client');
|
||||
const { InteractionCallbackTypes, ApplicationCommandOptionTypes } = Constants;
|
||||
|
||||
const { AI_GPT_MODEL_CONFIG } = require("../../../../labscore/constants");
|
||||
const superagent = require('superagent')
|
||||
|
||||
const { createEmbed } = require('../../../../labscore/utils/embed');
|
||||
const { codeblock } = require('../../../../labscore/utils/markdown');
|
||||
const { format } = require('../../../../labscore/utils/ansi');
|
||||
|
||||
module.exports = {
|
||||
description: 'Alpaca-7b (Replicate alpaca-7b)',
|
||||
name: 'alpaca',
|
||||
type: ApplicationCommandOptionTypes.SUB_COMMAND,
|
||||
options: [
|
||||
{
|
||||
name: 'prompt',
|
||||
description: 'Prompt',
|
||||
type: ApplicationCommandOptionTypes.STRING,
|
||||
required: true,
|
||||
maxLength: 256
|
||||
}
|
||||
],
|
||||
run: async (context, args) => {
|
||||
const MODEL = "replicate:replicate/alpaca-7b"
|
||||
try{
|
||||
let s = Date.now()
|
||||
await context.respond({data: {}, type: InteractionCallbackTypes.DEFERRED_CHANNEL_MESSAGE_WITH_SOURCE})
|
||||
|
||||
let res = await superagent.get(`${process.env.AI_SERVER}/gpt`)
|
||||
.query({
|
||||
model: MODEL,
|
||||
prompt: args.prompt
|
||||
})
|
||||
|
||||
await context.editOrRespond({
|
||||
embeds: [createEmbed("default", context, {
|
||||
footer: {
|
||||
iconUrl: `https://derpystuff.gitlab.io/webstorage4/v2/assets/icons/ai/ico_ai_${AI_GPT_MODEL_CONFIG[MODEL].icon}.png`,
|
||||
text: `${AI_GPT_MODEL_CONFIG[MODEL].name} • ${context.application.name}`,
|
||||
},
|
||||
description: codeblock("ansi", [format(args.prompt, "cyan") + res.body.response.substr(0, 1024).replace(/\\n/g,'\n')])
|
||||
})]
|
||||
})
|
||||
}catch(e){
|
||||
console.log(e)
|
||||
await context.editOrRespond({
|
||||
embeds: [createEmbed("error", context, "Unable to generate response. Try again in a bit.")]
|
||||
})
|
||||
}
|
||||
},
|
||||
};
|
||||
|
|
@ -1,51 +0,0 @@
|
|||
const { Constants } = require('detritus-client');
|
||||
const { InteractionCallbackTypes, ApplicationCommandOptionTypes } = Constants;
|
||||
|
||||
const { AI_GPT_MODEL_CONFIG } = require("../../../../labscore/constants");
|
||||
const superagent = require('superagent')
|
||||
|
||||
const { createEmbed } = require('../../../../labscore/utils/embed');
|
||||
const { codeblock } = require('../../../../labscore/utils/markdown');
|
||||
|
||||
module.exports = {
|
||||
description: 'ChatGPT (OpenAI gpt-3.5-turbo)',
|
||||
name: 'chatgpt',
|
||||
type: ApplicationCommandOptionTypes.SUB_COMMAND,
|
||||
options: [
|
||||
{
|
||||
name: 'prompt',
|
||||
description: 'Prompt',
|
||||
type: ApplicationCommandOptionTypes.STRING,
|
||||
required: true,
|
||||
maxLength: 256
|
||||
}
|
||||
],
|
||||
run: async (context, args) => {
|
||||
const MODEL = "openai:gpt-3.5-turbo"
|
||||
try{
|
||||
let s = Date.now()
|
||||
await context.respond({data: {}, type: InteractionCallbackTypes.DEFERRED_CHANNEL_MESSAGE_WITH_SOURCE})
|
||||
|
||||
let res = await superagent.get(`${process.env.AI_SERVER}/gpt`)
|
||||
.query({
|
||||
model: MODEL,
|
||||
prompt: args.prompt
|
||||
})
|
||||
|
||||
await context.editOrRespond({
|
||||
embeds: [createEmbed("default", context, {
|
||||
footer: {
|
||||
iconUrl: `https://derpystuff.gitlab.io/webstorage4/v2/assets/icons/ai/ico_ai_${AI_GPT_MODEL_CONFIG[MODEL].icon}.png`,
|
||||
text: `${AI_GPT_MODEL_CONFIG[MODEL].name} • ${context.application.name}`,
|
||||
},
|
||||
description: codeblock("ansi", [res.body.response.substr(0, 1024).replace(/\\n/g,'\n')])
|
||||
})]
|
||||
})
|
||||
}catch(e){
|
||||
console.log(e)
|
||||
await context.editOrRespond({
|
||||
embeds: [createEmbed("error", context, "Unable to generate response. Try again in a bit.")]
|
||||
})
|
||||
}
|
||||
},
|
||||
};
|
||||
|
|
@ -1,51 +0,0 @@
|
|||
const { Constants } = require('detritus-client');
|
||||
const { InteractionCallbackTypes, ApplicationCommandOptionTypes } = Constants;
|
||||
|
||||
const { AI_GPT_MODEL_CONFIG } = require("../../../../labscore/constants");
|
||||
const superagent = require('superagent')
|
||||
|
||||
const { createEmbed } = require('../../../../labscore/utils/embed');
|
||||
const { codeblock } = require('../../../../labscore/utils/markdown');
|
||||
|
||||
module.exports = {
|
||||
description: 'Claude Instant (Anthropic claude-instant-v1)',
|
||||
name: 'claude-instant',
|
||||
type: ApplicationCommandOptionTypes.SUB_COMMAND,
|
||||
options: [
|
||||
{
|
||||
name: 'prompt',
|
||||
description: 'Prompt',
|
||||
type: ApplicationCommandOptionTypes.STRING,
|
||||
required: true,
|
||||
maxLength: 256
|
||||
}
|
||||
],
|
||||
run: async (context, args) => {
|
||||
const MODEL = "anthropic:claude-instant-v1"
|
||||
try{
|
||||
let s = Date.now()
|
||||
await context.respond({data: {}, type: InteractionCallbackTypes.DEFERRED_CHANNEL_MESSAGE_WITH_SOURCE})
|
||||
|
||||
let res = await superagent.get(`${process.env.AI_SERVER}/gpt`)
|
||||
.query({
|
||||
model: MODEL,
|
||||
prompt: args.prompt
|
||||
})
|
||||
|
||||
await context.editOrRespond({
|
||||
embeds: [createEmbed("default", context, {
|
||||
footer: {
|
||||
iconUrl: `https://derpystuff.gitlab.io/webstorage4/v2/assets/icons/ai/ico_ai_${AI_GPT_MODEL_CONFIG[MODEL].icon}.png`,
|
||||
text: `${AI_GPT_MODEL_CONFIG[MODEL].name} • ${context.application.name}`,
|
||||
},
|
||||
description: codeblock("ansi", [res.body.response.substr(0, 1024).replace(/\\n/g,'\n')])
|
||||
})]
|
||||
})
|
||||
}catch(e){
|
||||
console.log(e)
|
||||
await context.editOrRespond({
|
||||
embeds: [createEmbed("error", context, "Unable to generate response. Try again in a bit.")]
|
||||
})
|
||||
}
|
||||
},
|
||||
};
|
||||
|
|
@ -1,51 +0,0 @@
|
|||
const { Constants } = require('detritus-client');
|
||||
const { InteractionCallbackTypes, ApplicationCommandOptionTypes } = Constants;
|
||||
|
||||
const { AI_GPT_MODEL_CONFIG } = require("../../../../labscore/constants");
|
||||
const superagent = require('superagent')
|
||||
|
||||
const { createEmbed } = require('../../../../labscore/utils/embed');
|
||||
const { codeblock } = require('../../../../labscore/utils/markdown');
|
||||
|
||||
module.exports = {
|
||||
description: 'Claude (Anthropic claude-v1)',
|
||||
name: 'claude',
|
||||
type: ApplicationCommandOptionTypes.SUB_COMMAND,
|
||||
options: [
|
||||
{
|
||||
name: 'prompt',
|
||||
description: 'Prompt',
|
||||
type: ApplicationCommandOptionTypes.STRING,
|
||||
required: true,
|
||||
maxLength: 256
|
||||
}
|
||||
],
|
||||
run: async (context, args) => {
|
||||
const MODEL = "anthropic:claude-v1"
|
||||
try{
|
||||
let s = Date.now()
|
||||
await context.respond({data: {}, type: InteractionCallbackTypes.DEFERRED_CHANNEL_MESSAGE_WITH_SOURCE})
|
||||
|
||||
let res = await superagent.get(`${process.env.AI_SERVER}/gpt`)
|
||||
.query({
|
||||
model: MODEL,
|
||||
prompt: args.prompt
|
||||
})
|
||||
|
||||
await context.editOrRespond({
|
||||
embeds: [createEmbed("default", context, {
|
||||
footer: {
|
||||
iconUrl: `https://derpystuff.gitlab.io/webstorage4/v2/assets/icons/ai/ico_ai_${AI_GPT_MODEL_CONFIG[MODEL].icon}.png`,
|
||||
text: `${AI_GPT_MODEL_CONFIG[MODEL].name} • ${context.application.name}`,
|
||||
},
|
||||
description: codeblock("ansi", [res.body.response.substr(0, 1024).replace(/\\n/g,'\n')])
|
||||
})]
|
||||
})
|
||||
}catch(e){
|
||||
console.log(e)
|
||||
await context.editOrRespond({
|
||||
embeds: [createEmbed("error", context, "Unable to generate response. Try again in a bit.")]
|
||||
})
|
||||
}
|
||||
},
|
||||
};
|
||||
|
|
@ -1,51 +0,0 @@
|
|||
const { Constants } = require('detritus-client');
|
||||
const { InteractionCallbackTypes, ApplicationCommandOptionTypes } = Constants;
|
||||
|
||||
const { AI_GPT_MODEL_CONFIG } = require("../../../../labscore/constants");
|
||||
const superagent = require('superagent')
|
||||
|
||||
const { createEmbed } = require('../../../../labscore/utils/embed');
|
||||
const { codeblock } = require('../../../../labscore/utils/markdown');
|
||||
|
||||
module.exports = {
|
||||
description: 'GPT-3 (OpenAI text-davinci-003)',
|
||||
name: 'gpt3',
|
||||
type: ApplicationCommandOptionTypes.SUB_COMMAND,
|
||||
options: [
|
||||
{
|
||||
name: 'prompt',
|
||||
description: 'Prompt',
|
||||
type: ApplicationCommandOptionTypes.STRING,
|
||||
required: true,
|
||||
maxLength: 256
|
||||
}
|
||||
],
|
||||
run: async (context, args) => {
|
||||
const MODEL = "openai: text-davinci-003"
|
||||
try{
|
||||
let s = Date.now()
|
||||
await context.respond({data: {}, type: InteractionCallbackTypes.DEFERRED_CHANNEL_MESSAGE_WITH_SOURCE})
|
||||
|
||||
let res = await superagent.get(`${process.env.AI_SERVER}/gpt`)
|
||||
.query({
|
||||
model: MODEL,
|
||||
prompt: args.prompt
|
||||
})
|
||||
|
||||
await context.editOrRespond({
|
||||
embeds: [createEmbed("default", context, {
|
||||
footer: {
|
||||
iconUrl: `https://derpystuff.gitlab.io/webstorage4/v2/assets/icons/ai/ico_ai_${AI_GPT_MODEL_CONFIG[MODEL].icon}.png`,
|
||||
text: `${AI_GPT_MODEL_CONFIG[MODEL].name} • ${context.application.name}`,
|
||||
},
|
||||
description: codeblock("ansi", [res.body.response.substr(0, 1024).replace(/\\n/g,'\n')])
|
||||
})]
|
||||
})
|
||||
}catch(e){
|
||||
console.log(e)
|
||||
await context.editOrRespond({
|
||||
embeds: [createEmbed("error", context, "Unable to generate response. Try again in a bit.")]
|
||||
})
|
||||
}
|
||||
},
|
||||
};
|
||||
|
|
@ -1,52 +0,0 @@
|
|||
const { Constants } = require('detritus-client');
|
||||
const { InteractionCallbackTypes, ApplicationCommandOptionTypes } = Constants;
|
||||
|
||||
const { AI_GPT_MODEL_CONFIG } = require("../../../../labscore/constants");
|
||||
const superagent = require('superagent')
|
||||
|
||||
const { createEmbed } = require('../../../../labscore/utils/embed');
|
||||
const { codeblock } = require('../../../../labscore/utils/markdown');
|
||||
const { format } = require('../../../../labscore/utils/ansi');
|
||||
|
||||
module.exports = {
|
||||
description: 'StableLM (Stability AI stablelm-tuned-alpha-7b)',
|
||||
name: 'stablelm',
|
||||
type: ApplicationCommandOptionTypes.SUB_COMMAND,
|
||||
options: [
|
||||
{
|
||||
name: 'prompt',
|
||||
description: 'Prompt',
|
||||
type: ApplicationCommandOptionTypes.STRING,
|
||||
required: true,
|
||||
maxLength: 256
|
||||
}
|
||||
],
|
||||
run: async (context, args) => {
|
||||
const MODEL = "replicate:stability-ai/stablelm-tuned-alpha-7b"
|
||||
try{
|
||||
let s = Date.now()
|
||||
await context.respond({data: {}, type: InteractionCallbackTypes.DEFERRED_CHANNEL_MESSAGE_WITH_SOURCE})
|
||||
|
||||
let res = await superagent.get(`${process.env.AI_SERVER}/gpt`)
|
||||
.query({
|
||||
model: MODEL,
|
||||
prompt: args.prompt
|
||||
})
|
||||
|
||||
await context.editOrRespond({
|
||||
embeds: [createEmbed("default", context, {
|
||||
footer: {
|
||||
iconUrl: `https://derpystuff.gitlab.io/webstorage4/v2/assets/icons/ai/ico_ai_${AI_GPT_MODEL_CONFIG[MODEL].icon}.png`,
|
||||
text: `${AI_GPT_MODEL_CONFIG[MODEL].name} • ${context.application.name}`,
|
||||
},
|
||||
description: codeblock("ansi", [res.body.response.substr(0, 1024).replace(/\\n/g,'\n')])
|
||||
})]
|
||||
})
|
||||
}catch(e){
|
||||
console.log(e)
|
||||
await context.editOrRespond({
|
||||
embeds: [createEmbed("error", context, "Unable to generate response. Try again in a bit.")]
|
||||
})
|
||||
}
|
||||
},
|
||||
};
|
||||
Loading…
Add table
Add a link
Reference in a new issue