gemini text

commands/message/genai/gemini-vision.js

@@ -46,7 +46,7 @@ module.exports = {
       if(res.response.body.message) return editOrReply(context, createEmbed("error", context, e.response.body.message))
 
       let output = res.response.body.gemini?.candidates[0]?.content?.parts[0]?.text
-      if(!output) return editOrReply(context, createEmbed("error", context, `PaLM 2 returned an error. Try again later.`)) 
+      if(!output) return editOrReply(context, createEmbed("error", context, `Gemini returned an error. Try again later.`)) 
 
 
       if(output.length <= 4000) description.push(output)

commands/message/genai/gemini.js

@@ -0,0 +1,71 @@
+const { gemini } = require("../../../labscore/api/obelisk");
+const { createEmbed } = require("../../../labscore/utils/embed");
+const { editOrReply } = require("../../../labscore/utils/message");
+
+const { Permissions } = require("detritus-client/lib/constants");
+
+const { STATIC_ICONS } = require("../../../labscore/utils/statics");
+const { stringwrap } = require("../../../labscore/utils/markdown");
+const { canUseLimitedTestCommands } = require("../../../labscore/utils/testing");
+module.exports = {
+  name: 'gemini',
+  label: 'text',
+  aliases: ['gem'],
+  metadata: {
+    description: 'Run Gemini Pro with a custom prompt.',
+    description_short: 'Gemini',
+    examples: ['gem why do they call it oven when you of in the cold food of out hot eat the food'],
+    category: 'limited',
+    usage: 'gemini <prompt>'
+  },
+  permissionsClient: [Permissions.EMBED_LINKS, Permissions.SEND_MESSAGES, Permissions.USE_EXTERNAL_EMOJIS, Permissions.ATTACH_FILES, Permissions.READ_MESSAGE_HISTORY],
+  run: async (context, args) => {
+    context.triggerTyping();
+    if(!canUseLimitedTestCommands(context)) return;
+    context.triggerTyping();
+
+    if(!args.text) return editOrReply(context, createEmbed("warning", context, `Missing Parameter (text).`))
+
+    let input = args.text;
+
+    try{
+      await editOrReply(context, createEmbed("ai_custom", context, STATIC_ICONS.ai_gemini))
+
+      let res = await gemini(context, input)
+
+      let description = []
+      let files = [];
+      
+      if(res.response.body.message) return editOrReply(context, createEmbed("error", context, e.response.body.message))
+
+      let output = res.response.body.gemini?.candidates[0]?.content?.parts[0]?.text
+      if(!output) return editOrReply(context, createEmbed("error", context, `Gemini returned an error. Try again later.`)) 
+
+      if(output.length <= 4000) description.push(output)
+      else {
+        files.push({
+          filename: `gemini.${Date.now().toString(36)}.txt`,
+          value: Buffer.from(output)
+        })
+      }
+
+      return editOrReply(context, {
+        embeds:[createEmbed("defaultNoFooter", context, {
+          author: {
+            name: stringwrap(input, 50, false),
+            iconUrl: STATIC_ICONS.ai_gemini
+          },
+          description: description.join('\n'),
+          footer: {
+            text: `Generative AI is experimental • Data submitted to Gemini may be used by Google for training.`
+          }
+        })],
+        files
+      })
+    } catch(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.`))
+    }
+  }
+};

labscore/api/obelisk/endpoints.js

@@ -7,6 +7,7 @@ const ObeliskApi = Object.freeze({
   HOST: ObeliskHosts.prod,
 
   GOOGLE_BARD: "/parrot/v1/google:bard",
+  GEMINI_PRO: "/parrot/v1/google:gemini",
   GEMINI_PRO_VISION: "/parrot/v1/google:geminiVision",
 
   SUMMARIZE_WEBPAGES: "/flamingo/v1/web:summarize"

labscore/api/obelisk/index.js

@@ -47,6 +47,12 @@ module.exports.bard = async function(context, input){
   })
 }
 
+module.exports.gemini = async function(context, prompt){
+  return await request(ObeliskApi.GEMINI_PRO, "POST", {}, {
+    prompt
+  })
+}
+
 module.exports.geminiVision = async function(context, input, url){
   return await request(ObeliskApi.GEMINI_PRO_VISION, "POST", {}, {
     input,