Merge branch '27034_spacing' into 'master'

27034_spacing

See merge request !45

@@ -127,6 +127,9 @@
   color:white;
 }
 .message {
+  width: 100%;
+  overflow: hidden;
+  word-wrap: break-word;
   padding-left: 40px;
   padding-right: 40px;
 }

@@ -114,7 +114,7 @@ function App() {
       const regex = new RegExp(`\\b(${programmingKeywords.join('|')})\\b`, 'gi');
       const matches = parsedData.match(regex);
       if (!matches) {
-        var replaceTags = (parsedData.replace(/(?:\r\n|\r|\n)/g, '<br>').replace(/\./g, '. '))
+        var replaceTags = (parsedData.replace(/(?:\r\n|\r|\n)/g, '<br>'))
       } else {
           replaceTags = (parsedData.replace(':',':<code>').replace('<?','&#60;?').replace('?>','?&#62;').replace(/\n/g, '<br>'))
       }

@@ -4,6 +4,7 @@ const bodyParser = require('body-parser')
 const cors = require('cors')
 require('dotenv').config()
 const rateLimit = require('express-rate-limit')
+const anchorme = require("anchorme").default;
 
 // Open AI Configuration
 // console.log(process.env.OPENAI_API_ORG)
@@ -63,8 +64,16 @@ app.post('/api', async (req, res) => {
 			max_tokens: 3000,
 			temperature,
 		  });
+		let input = response.data.choices[0].text;
 		res.json({
-			message: response.data.choices[0].text,
+			message: anchorme({
+				input,
+				options: {
+					attributes: {
+						target: "_blank"
+					},
+				}
+			})
 		})
 	} catch (e) {
   		let error_msg = e.response.data.error.message ?  e.response.data.error.message : '';
@@ -83,7 +92,7 @@ app.post('/api', async (req, res) => {
 async function runGPTTurbo(req, res) {
 	// "gpt-3.5-turbo"
 	const { message, currentModel, temperature } = req.body;
-	var returnMessage = '';
+	var input = '';
 	try {
 		const response = await openai.createChatCompletion({
 			model: `${currentModel}`,
@@ -91,18 +100,25 @@ async function runGPTTurbo(req, res) {
 			max_tokens: 3000,
 			temperature
 		});
-		returnMessage = response.data.choices[0].message.content
+		input = response.data.choices[0].message.content
 	} catch (e) {
 		let error_msg = e.response.data.error.message ?  e.response.data.error.message : '';
 		if (error_msg.indexOf('maximum context length')>=0){
-			returnMessage = "The output for your prompt is too long for us to process. Please reduce your prompt and try again.";
+			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);
 		}
 	} finally {
 		res.json({
 			prompt: JSON.parse(message),
-			message: returnMessage
+			message: anchorme({
+				input,
+				options: {
+					attributes: {
+						target: "_blank"
+					},
+				}
+			})
 		});
 		return;
 	}

@@ -9,6 +9,7 @@
   "author": "",
   "license": "ISC",
   "dependencies": {
+    "anchorme": "^2.1.2",
     "body-parser": "^1.20.1",
     "cors": "^2.8.5",
     "dotenv": "^16.0.3",