Merge branch 'main' into main

app/backend/InputOutputHandler.tsx

@@ -9,7 +9,6 @@ import { resolve } from "path";
 import { FFmpeg } from "@ffmpeg/ffmpeg";
 import { fetchFile, toBlobURL } from "@ffmpeg/util"
 
-
 const InputOutputBackend: React.FC = () => {
   // # variables
   type Message = {
@@ -174,7 +173,15 @@ const InputOutputBackend: React.FC = () => {
         if (postWorkerRef.current) {
           addMessage("user", inputValue)
           console.log("input:", inputValue);
-          postWorkerRef.current.postMessage({ messages: [...messages, { role: "user", content: inputValue }], ai_model: "llama3.2", access_token: accessToken })
+          const type = localStorage.getItem('type')
+          var api_key: string = ""
+          if (type != null && type != 'local') {
+            const try_key = localStorage.getItem(type)
+            if (try_key) {
+              api_key = try_key
+            }
+          }
+          postWorkerRef.current.postMessage({ messages: [...messages, { role: "user", content: inputValue }], ai_model: localStorage.getItem('model'), model_type: type, access_token: accessToken, api_key: api_key })
           startGetWorker()
         }
       }

app/backend/database.ts

@@ -18,27 +18,28 @@ if all went well, you will get the status 200 in response.data.status
 to check if the request was accepted or declined, check response.data.response, it will be either true or false depending on if it worked, or not.
 */
 
-export const sendToDatabase = (data: any): Promise<boolean> => {
-  return axios.post("http://localhost:5000/interstellar_ai/db", data)
-    .then(response => {
-      const status = response.data.status;
-      const success = response.data.response;
-      postMessage({ status, success });
-      return success;  // Ensure success is returned to the caller
-    })
-    .catch(error => {
-      postMessage({ status: 500, success: false });
-      return false;  // Return false in case of an error
-    });
+export const sendToDatabase = async (data: any): Promise<boolean> => {
+  try {
+    const response = await axios.post("http://localhost:5000/interstellar_ai/db", data);
+    const status = response.data.status;
+    const success = response.data.response;
+    postMessage({ status, success });
+    console.log(status);
+    return success;
+  } catch (error) {
+    postMessage({ status: 500, success: false });
+    console.log("NO");
+    return false;
+  }
 };
 
 // Functions for each action
 export const createAccount = async (username: string, email: string, password: string) => {
   const data = {
     action: "create_account",
-    username,
-    email,
-    password,
+    username: username,
+    email: email,
+    password: password,
   };
   return await sendToDatabase(data);
 };

app/backend/threads/PostWorker.js

@@ -1,14 +1,15 @@
 import axios from "axios";
 
 onmessage = (e) => {
-    const { messages, ai_model = "llama3.2", access_token } = e.data
-    
+    const { messages, ai_model, model_type, access_token, api_key } = e.data
+
 
     const Message = {
         messages: messages,
-        ai_model: "llama3.2",
-        model_type: "local",
-        access_token: access_token
+        ai_model: ai_model,
+        model_type: model_type,
+        access_token: access_token,
+        api_key: api_key
     }
 
     console.log(Message);

app/backend/voice_backend.ts

@@ -6,7 +6,6 @@ export const sendToVoiceRecognition = (audio_data: Blob): Promise<string> => {
     const formdata = new FormData()
     formdata.append("audio", audio_data)
 
-    const dataSend = { option: "offline", type: "basic", audio: audio_data }
     return axios.post("http://localhost:5000/interstellar_ai/api/voice_recognition", formdata)
         .then((response) => {
             console.log(response.data)