set default gpt4o-mini

@@ -13,10 +13,12 @@ function App() {
     displayTogetherAiResponse()
   }, [])
   
+  const DEFAULT_MODEL = process.env.REACT_APP_DEFAULT_MODEL || 'gpt-4o-mini';
+
   const [chatInput, setChatInput] = useState("");
   const [models, setModels] = useState([]);
   const [temperature, setTemperature] = useState(0.7);
-  const GPTTurbo = "gpt-3.5-turbo";
+  const GPTTurbo = DEFAULT_MODEL;
   const [currentModel, setCurrentModel] = useState(GPTTurbo);
   const [chatLog, setChatLog] = useState([{
     user: "gpt",
@@ -149,7 +151,7 @@ function App() {
       const parsedData = data.message ? data.message.trim() : "";
 
       if (togetherAiResponse) {
-        if (currentModel !== 'gpt-3.5-turbo') {
+        if (currentModel !== 'gpt-4o-mini') {
           console.log(data)
         }
       }

 import ExportButton from "./ExportButton";
+const DEFAULT_MODEL = process.env.REACT_APP_DEFAULT_MODEL || 'gpt-4o-mini';
 const SideMenu = ({
   clearChat,
   currentModel,
@@ -33,8 +34,8 @@ const SideMenu = ({
             </option>
           ))
         ) : (
-          <option key={"gpt-3.5-turbo"} value={"gpt-3.5-turbo"}>
-            {"gpt-3.5-turbo"}
+          <option key={DEFAULT_MODEL} value={DEFAULT_MODEL}>
+            {DEFAULT_MODEL}
           </option>
         )}
       </select>

@@ -10,6 +10,7 @@ const fetch = require('node-fetch');
 const anchorme = require("anchorme").default;
 const axios = require('axios');
 const { encodingForModel } = require('js-tiktoken');
+const DEFAULT_MODEL = process.env.REACT_APP_DEFAULT_MODEL || 'gpt-4o-mini';
 const tiktokenModels = [
   'text-davinci-003',
   'text-davinci-002',
@@ -45,7 +46,7 @@ const tiktokenModels = [
   'gpt-4-0314',
   'gpt-4-32k',
   'gpt-4-32k-0314',
-  'gpt-3.5-turbo',
+  'gpt-4o-mini',
   'gpt-3.5-turbo-0301'
 ];
 
@@ -53,7 +54,7 @@ let client;
 let filteredModels = {};
 const allowedEndpoints = ["openAI", "Opensource", "Llama"];
 const allowedModels = [
-  "gpt-3.5-turbo", 
+  DEFAULT_MODEL, 
   "google/gemma-2-9b-it", 
   "meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo"
 ];
@@ -157,7 +158,7 @@ app.post('/api', async (req, res) => {
     let usage = {};
     let enc = null;
     try {
-      enc = encodingForModel(tiktokenModels.includes(currentModel) ? currentModel : 'gpt-3.5-turbo');
+      enc = encodingForModel(tiktokenModels.includes(currentModel) ? currentModel : DEFAULT_MODEL);
       usage.prompt_tokens = (enc.encode(query_prompt)).length;
       usage.completion_tokens = (enc.encode(input)).length;
       usage.total_tokens = usage.prompt_tokens + usage.completion_tokens;
@@ -240,7 +241,7 @@ async function runGPTTurbo(req, res) {
     let usage = {};
     let enc = null;
     try {
-      enc = encodingForModel(tiktokenModels.includes(currentModel) ? currentModel : 'gpt-3.5-turbo');
+      enc = encodingForModel(tiktokenModels.includes(currentModel) ? currentModel : DEFAULT_MODEL);
       usage.prompt_tokens = (enc.encode(query_prompt)).length;
       usage.completion_tokens = (enc.encode(input)).length;
       usage.total_tokens = usage.prompt_tokens + usage.completion_tokens;