WIP

@@ -29,7 +29,7 @@ function App() {
     fetch(process.env.REACT_APP_SERVER_URL + "/models")
     .then(res => res.json())
     .then(data => {
-      // console.log(data.models.data)
+      console.log(data.models.data)
       // set models in order alpahbetically
       data.models.data.sort((a, b) => {
         if(a.id < b.id) { return -1; }
@@ -47,13 +47,12 @@ function App() {
     setChatLog(chatLogNew)
     // fetch response to the api combining the chat log array of messages and seinding it as a message to localhost:3000 as a post
     const messages = chatLogNew.map((message) => message.message).join("\n")
-    console.log(chatLogNew[0])
-    const messageDiv = document.getElementsByClassName("message");
 
     const response = await fetch(process.env.REACT_APP_SERVER_URL + "/api", {
       method: "POST",
       headers: {
-        "Content-Type": "application/json"
+        "Content-Type": "application/json",
+        "Accept":"application/json"
       },
       body: JSON.stringify({
         message: messages,
@@ -63,36 +62,72 @@ function App() {
     const data = await response.json();
 
     const parsedData = data.message.trim();
-    console.log("-----------")
-    console.log(data)
-    console.log("===========")
-    console.log(parsedData)
-
-    typeText(messageDiv,parsedData);
-    i = 0;
 
     setChatLog([...chatLogNew, { user: "gpt", message: `${data.message}`} ])
     var scrollToTheBottomChatLog = document.getElementsByClassName("chat-log")[0];
     scrollToTheBottomChatLog.scrollTop = scrollToTheBottomChatLog.scrollHeight;
-  }
 
 
-  let i = 0;
-  const delay = 100;
-  const chat_container = document.getElementsByClassName("chat-log");
-  const typeText = (element, text)=>{
-    let index = 0
-    let interval = setTimeout(()=>{
-      if (i <= text.length){
-        element.innerHTML = text.substring(0, i);
-
-        setTimeout(typeText(element, text), delay);
-        i++
-      }
-    },30)
-    chat_container.scrollTop = chat_container.clientHeight * 100;
-  }
+      // var oHttp = new XMLHttpRequest();
+      // oHttp.open("POST", "https://api.openai.com/v1/completions");
+      // oHttp.setRequestHeader("Accept", "application/json");
+      // oHttp.setRequestHeader("Content-Type", "application/json");
+      // oHttp.setRequestHeader("Authorization", "Bearer " + "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")
+
+      // oHttp.onreadystatechange = function () {
+      //   if (oHttp.readyState === 4) {
+      //     var s = ''
+      //     var oJson = {}
+      //     if (s != "") s += "\n";
+      //     try {
+      //       oJson = JSON.parse(oHttp.responseText);
+      //     } catch (ex) {
+      //       s += "Error: " + ex.message
+      //     }
+      //     if (oJson.error && oJson.error.message) {
+      //       s += "Error: " + oJson.error.message;
+      //     } else if (oJson.choices && oJson.choices[0].text) {
+      //       s = oJson.choices[0].text;
+      //       var a = s.split("?\n");
+      //       if (a.length == 2) {
+      //         s = a[1];
+      //       }
+      //       // if (selLang.value != "en-US") {
+      //       //   var a = s.split("?\n");
+      //       //   if (a.length == 2) {
+      //       //     s = a[1];
+      //       //   }
+      //       // }
+      //       if (s == "") s = "No response";
+      //       console.log('ssssssssssssssssssssss',s);
+      //        var replaceBR= (s.replace(/(?:\r\n|\r|\n)/g, "<br>")).replace(/\r?\n|\r/, "");
+
+      //       setChatLog([...chatLogNew, { user: "gpt", message: `${replaceBR}`} ]);
+      //     }
+      //   }
+      // };
+
+      // var sModel = currentModel;// "text-davinci-003";
+      // var iMaxTokens = 100;
+      // var sUserId = "1";
+      // var dTemperature =temperature;
+
+      // var data = {
+      //   model: sModel,
+      //   prompt: messages,
+      //   max_tokens: iMaxTokens,
+      //   //user: sUserId,
+      //   temperature: dTemperature,
+      //  // frequency_penalty: 0.0, //Number between -2.0 and 2.0  Positive value decrease the model's likelihood to repeat the same line verbatim.
+      //   //presence_penalty: 0.0,  //Number between -2.0 and 2.0. Positive values increase the model's likelihood to talk about new topics.
+      //   //stop: ["#", ";"] //Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.
+      // }
+      var oHttp = new XMLHttpRequest();
+      oHttp.open("POST", "/your-endpoint", true);
+      oHttp.setRequestHeader("Content-Type", "application/json;charset=UTF-8");
+      oHttp.send(JSON.stringify(data));
 
+  }
 
   function handleTemp(temp) {
     if(temp > 1){