- fix the issue of model not responding when temperature is cahnged

- added error log

@@ -89,11 +89,11 @@ const user_secret_id = process.env.USER_SECRET_ID || "aiwp_logged_in";
 const aiwp_app_id = "chatbot+";
 // Primary Open AI Route
 app.post('/api', async (req, res) => {
-  // if(!req.get('origin') || (!req.get('origin').includes(req.get('host')))) {
-  //   res.status(401);
-  //   res.send('Method Not Allowed');
-  //   return;
-  // }
+  if(!req.get('origin') || (!req.get('origin').includes(req.get('host')))) {
+    res.status(401);
+    res.send('Method Not Allowed');
+    return;
+  }
   const { message, currentModel, temperature } = req.body;
   const getEndpoint = (modelName) => {
       const model = Object.values(filteredModels).find(m => m.model === modelName);
@@ -151,7 +151,7 @@ app.post('/api', async (req, res) => {
       model: `${currentModel}`,// "text-davinci-003",
       prompt: query_prompt,
       max_tokens: max_tokens,
-      temperature,
+      temperature:parseFloat(temperature),
     });
     let input = response.data.choices[0].text;
     let usage = {};
@@ -191,7 +191,7 @@ app.post('/api', async (req, res) => {
         message: "The output for your prompt is too long for us to process. Please reduce your prompt and try again.",
       })
     } else {
-      // console.log(e.response);
+      console.log(e.response);
     }
   } finally {
     // console.log('We do cleanup here');
@@ -225,7 +225,7 @@ async function runGPTTurbo(req, res) {
       model: `${currentModel}`,
       messages: JSON.parse(message),
       max_tokens: max_tokens,
-      temperature
+      temperature:parseFloat(temperature),
     });
     input = response.data.choices[0].message.content
   } catch (e) {
@@ -233,7 +233,7 @@ async function runGPTTurbo(req, res) {
     if (error_msg.indexOf('maximum context length') >= 0) {
       input = "The output for your prompt is too long for us to process. Please reduce your prompt and try again.";
     } else {
-      // console.log(e.response);
+      console.log(e.response);
     }
   } finally {
 
@@ -300,7 +300,7 @@ async function runOpensource(req, res) {
       model: currentModel,
       messages: JSON.parse(message),
       max_tokens: 2048,
-      temperature,
+      temperature:parseFloat(temperature),
       top_p: 0.7,
       top_k: 50,
       repetition_penalty: 1
@@ -334,7 +334,7 @@ async function runOpensource(req, res) {
     if (error_msg.indexOf('maximum context length') >= 0) {
       input = "The output for your prompt is too long for us to process. Please reduce your prompt and try again.";
     } else {
-      // console.log(e.response);
+      console.log(e.response);
     }
   } finally {
     let usage_params = {
@@ -440,7 +440,7 @@ async function setChatUsage(params) {
 
 async function validation (aiwp_app_id, req, res) {
     const aiwp_logged_in = req.cookies[user_secret_id] ? decodeURIComponent(req.cookies[user_secret_id]) : "";
-    const limit = req.cookies["WcvYPABR"] ? parseInt(req.cookies["WcvYPABR"].replace(/\D/g, '')) : 9999999999999999999;
+    const limit = req.cookies["WcvYPABR"] ? parseInt(req.cookies["WcvYPABR"].replace(/\D/g, '')) : 3; // change this to 99999 if working on dev
     let IS_FREE_USER = false;
     let TRIED_USAGE = 0;
     const ip_address = getClientIP(req);