Update to 0.9.5 (#59)

.github/workflows/github-actions-builder.yml

@@ -11,7 +11,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        platform: [ubuntu-20.04,macos-latest]
+        platform: [ubuntu-latest,macos-latest,windows-latest]
 
     runs-on: ${{ matrix.platform }}
     steps:
@@ -32,15 +32,15 @@ jobs:
         with:
           toolchain: stable
       - name: install dependencies (ubuntu only)
-        if: matrix.platform == 'ubuntu-20.04'
+        if: matrix.platform == 'ubuntu-latest'
         run: |
           sudo apt-get update
           sudo apt-get install -y libgtk-3-dev libwebkit2gtk-4.0-dev libappindicator3-dev librsvg2-dev patchelf
       - name: install frontend dependencies
         run: pnpm install --no-frozen-lockfile # change this to npm or pnpm depending on which one you use
-      - if: matrix.platform == 'ubuntu-20.04'
+      - if: matrix.platform == 'ubuntu-latest'
         run: pnpm tauri build --target x86_64-unknown-linux-gnu
-      - if: matrix.platform == 'ubuntu-20.04'
+      - if: matrix.platform == 'ubuntu-latest'
         uses: "softprops/action-gh-release@v1"
         with:
           repo_token: "${{ secrets.GITHUB_TOKEN }}"
@@ -53,6 +53,8 @@ jobs:
             src-tauri/target/x86_64-unknown-linux-gnu/release/**/*.AppImage
       - if: matrix.platform == 'macos-latest'
         run: pnpm tauri build --target x86_64-apple-darwin
+      - if: matrix.platform == 'macos-latest'
+        run: pnpm tauri build --target aarch64-apple-darwin
       - if: matrix.platform == 'macos-latest'
         uses: "softprops/action-gh-release@v1"
         with:

src-tauri/tauri.conf.json

@@ -8,7 +8,7 @@
   },
   "package": {
     "productName": "RisuAI",
-    "version": "0.9.4"
+    "version": "0.9.5"
   },
   "tauri": {
     "allowlist": {

src/ts/database.ts

@@ -7,7 +7,7 @@ import { cloneDeep } from 'lodash';
 
 export const DataBase = writable({} as any as Database)
 export const loadedStore = writable(false)
-export let appVer = '0.9.4'
+export let appVer = '0.9.5'
 
 
 export function setDatabase(data:Database){

src/ts/process/supaMemory.ts

@@ -87,35 +87,53 @@ export async function supaMemory(chats:OpenAIChat[],currentTokens:number,maxCont
                 chunkSize += tokens
             }
     
-            const promptbody:OpenAIChat[] = [
+            const supaPrompt = db.supaMemoryPrompt === '' ?
-                {
+            "[Summarize the ongoing role story. It must also remove redundancy and unnecessary content from the prompt so that gpt3 and other sublanguage models]\n"
-                    role: "user",
+            : db.supaMemoryPrompt
-                    content: stringlizedChat
-                },
-                {
-                    role: "system",
-                    content: db.supaMemoryPrompt === '' ?
-                    "[Summarize the ongoing role story. It must also remove redundancy and unnecessary content from the prompt so that gpt3 and other sublanguage models]\n"
-                    : db.supaMemoryPrompt
-                }
-            ]
     
-            const da = await requestChatData({
+            const promptbody = stringlizedChat + '\n\n' + supaPrompt + "\n\nOutput:"
-                formated: promptbody,
-                bias: {}
-            }, 'submodel')
 
-            if(da.type === 'fail'){
+            const da = await fetch("https://api.openai.com/v1/completions",{
+                headers: {
+                    "Content-Type": "application/json",
+                    "Authorization": "Bearer " + db.openAIKey
+                },
+                method: "POST",
+                body: JSON.stringify({
+                    "model": "text-davinci-003",
+                    "prompt": promptbody,
+                    "max_tokens": 500,
+                    "temperature": 0
+                })
+            })
+
+            // const promptbody:OpenAIChat[] = [
+            //     {
+            //         role: "user",
+            //         content: stringlizedChat
+            //     },
+            //     {
+            //         role: "system",
+            //         content: supaPrompt
+            //     }
+            // ]
+            // const da = await requestChatData({
+            //     formated: promptbody,
+            //     bias: {}
+            // }, 'submodel')
+
+            const result = (await da.json()).choices[0].text.trim()
+            if(da.status < 200 || da.status >= 300){
                 return {
                     currentTokens: currentTokens,
                     chats: chats,
-                    error: "SupaMemory: HTTP: " + da.result
+                    error: "SupaMemory: HTTP: " + await da.text()
                 }
             }
 
-            const tokenz = await tokenize(da.result + '\n\n') + 5
+            const tokenz = await tokenize(result + '\n\n') + 5
             currentTokens += tokenz
-            supaMemory += da.result + '\n\n'
+            supaMemory += result + '\n\n'
             console.log(tokenz)
         }
 

version.json

@@ -1 +1 @@
-{"version":"0.9.4"}
+{"version":"0.9.5"}