Merge branch '27103_gpt_turbo' into 'master'

27103_gpt_turbo

See merge request !43

@@ -14,14 +14,23 @@ function App() {
   const [chatInput, setChatInput] = useState("");
   const [models, setModels] = useState([]);
   const [temperature, setTemperature] = useState(0.7);
-  const [currentModel, setCurrentModel] = useState("text-davinci-003");
+  const GPTTurbo = "gpt-3.5-turbo";
+  const GPTTurbo0301 = "gpt-3.5-turbo-0301";
+  const [currentModel, setCurrentModel] = useState(GPTTurbo);
   const [chatLog, setChatLog] = useState([{
     user: "gpt",
     message: "Welcome to AI-PRO... How can I help you?"
   }]);
+  // "gpt-3.5-turbo"
+  const defaultChatLogTurbo = [
+    { role: "system", content: "You are a helpful assistant."}
+  ];
+  const [chatLogTurbo, setChatLogTurbo] = useState(defaultChatLogTurbo);
+  //
 
   function clearChat(){
     setChatLog([]);
+    setChatLogTurbo(defaultChatLogTurbo);
     setChatInput("");
     setStartedInteraction(false);
   }
@@ -34,8 +43,13 @@ function App() {
         if(a.id < b.id) { return -1; }
         if(a.id > b.id) { return 1; }
         return 0;
-      })
-      setModels(data.models.data)
+      });
+      let model_list = [];
+      for( var i = 1; i < data.models.data.length; i++ ) {
+        let model = data.models.data[i];
+        if(model.id != "whisper-1") model_list.push(model);
+      }
+      setModels(model_list)
     })
   }
 
@@ -67,7 +81,13 @@ function App() {
     const userMessage = { user: "gpt", message: "..." };
     setChatLog(prevChatLog => [...prevChatLog, userMessage]);
 
-    const messages = chatLogNew.map((message) => message.message).join("\n")
+    var messages = chatLogNew.map((message) => message.message).join("\n")
+    if(currentModel == GPTTurbo || currentModel == GPTTurbo0301) {
+      // "gpt-3.5-turbo"
+      let chatLogTurboNew = [...chatLogTurbo, { role: "user", content: chatInput }];
+      setChatLogTurbo(chatLogTurboNew);
+      messages = JSON.stringify(chatLogTurboNew);
+    }
     let intervalId = startInterval();
 
     try {
@@ -79,10 +99,15 @@ function App() {
         body: JSON.stringify({
           message: messages,
           currentModel,
+          temperature
         })
       });
       const data = await response.json();
       const parsedData = data.message.trim();
+      // "gpt-3.5-turbo"
+      let chatLogTurboNew = [...chatLogTurbo, { role: "assistant", content: parsedData }];
+      setChatLogTurbo(chatLogTurboNew);
+      //
       clearInterval(intervalId);
       const programmingKeywords = ['code', 'application', 'controller', 'rails' , 'PHP', 'java', 'javascript', 'script', 'console', 'python', 'programming', 'table'];
 

@@ -21,8 +21,8 @@ const SideMenu = ({ clearChat, currentModel, setCurrentModel, models, setTempera
               key={model.id}
               value={model.id}>{model.id}</option>
           )) :  <option
-                  key={"text-davinci-003"}
-                  value={"text-davinci-003"}>{"text-davinci-003"}</option>}
+                  key={"gpt-3.5-turbo"}
+                  value={"gpt-3.5-turbo"}>{"gpt-3.5-turbo"}</option>}
         </select>
 
         <Button

@@ -34,6 +34,11 @@ app.use(rateLimiter)
 app.post('/api', async (req, res) => {
 	const { message, currentModel, temperature } = req.body;
 
+	if(currentModel == "gpt-3.5-turbo" || currentModel == "gpt-3.5-turbo-0301") {
+		runGPTTurbo(req,res);
+		return;
+	}
+
 	let greetingPrompt = 'Hello, how can I assist you?'
 	const greetings = ['hi', 'hello', 'hey']
 	if (greetings.some((greeting) => message.toLowerCase().includes(greeting))) {
@@ -75,6 +80,34 @@ app.post('/api', async (req, res) => {
 	}
 });
 
+async function runGPTTurbo(req, res) {
+	// "gpt-3.5-turbo"
+	const { message, currentModel, temperature } = req.body;
+	var returnMessage = '';
+	try {
+		const response = await openai.createChatCompletion({
+			model: `${currentModel}`,
+			messages: JSON.parse(message),
+			max_tokens: 3000,
+			temperature
+		});
+		returnMessage = 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.";
+		}else{
+			console.log(e.response);
+		}
+	} finally {
+		res.json({
+			prompt: JSON.parse(message),
+			message: returnMessage
+		});
+		return;
+	}
+}
+
 // Get Models Route
 app.get('/models', async (req, res) => {
 	const response = await openai.listEngines();

@@ -15,6 +15,6 @@
     "express": "^4.18.2",
     "express-rate-limit": "^6.7.0",
     "morgan": "^1.10.0",
-    "openai": "^3.1.0"
+    "openai": "^3.2.0"
   }
 }