App.js
4.31 KB
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import './normal.css';
import './App.css';
import './color_theme_1.css';
import { useState, useEffect } from 'react';
import SideMenu from './SideMenu'
import ChatBox from './ChatBox'
function App() {
useEffect(() => {
getEngines();
}, [])
const [chatInput, setChatInput] = useState("");
const [models, setModels] = useState([]);
const [temperature, setTemperature] = useState(0.7);
const [currentModel, setCurrentModel] = useState("text-davinci-003");
const [chatLog, setChatLog] = useState([{
user: "gpt",
message: "Welcome to AI-PRO... How can I help you?"
}]);
// clear chats
function clearChat(){
setChatLog([]);
}
function getEngines(){
fetch(process.env.REACT_APP_SERVER_URL + "/models")
.then(res => res.json())
.then(data => {
// console.log(data.models.data)
// set models in order alpahbetically
data.models.data.sort((a, b) => {
if(a.id < b.id) { return -1; }
if(a.id > b.id) { return 1; }
return 0;
})
setModels(data.models.data)
})
}
async function handleSubmit(e){
e.preventDefault();
// console.log(chatInput)
const userInput = ['what', 'why', 'when', 'where' , 'which', 'did', 'do', 'how', 'can', 'are', 'who', 'hey'];
const userInputRegex = new RegExp(`\\b(${userInput.join('|')})\\b`, 'gi');
const inputMatches = chatInput.match(userInputRegex);
const userPunctuation = ['\.', '?', '!', ':', ';', ','];
const userPunctuationRegex = new RegExp(`[${userPunctuation.join('')}]$`);
const punctuationMatches = chatInput.match(userPunctuationRegex);
// console.log(punctuationMatches)
var userModifiedInput = chatInput
if (!punctuationMatches) {
if (!inputMatches) {
userModifiedInput = chatInput + ".";
// console.log("not a question!")
} else {
userModifiedInput = chatInput + "?";
// console.log("its a question!")
}
}
let chatLogNew = [...chatLog, { user: "me", message: `${userModifiedInput}`} ]
setChatInput("");
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")
try {
const response = await fetch(process.env.REACT_APP_SERVER_URL + "/api", {
method: "POST",
headers: {
"Content-Type": "application/json"
},
body: JSON.stringify({
message: messages,
currentModel,
})
});
const data = await response.json();
const parsedData = data.message.trim();
const programmingKeywords = ['code', 'application', 'controller', 'rails' , 'PHP', 'java', 'javascript', 'script', 'console', 'python', 'programming', 'table'];
const regex = new RegExp(`\\b(${programmingKeywords.join('|')})\\b`, 'gi');
const matches = parsedData.match(regex);
if (!matches) {
var replaceTags = (parsedData.replace(/(?:\r\n|\r|\n)/g, '<br>').replace(/\./g, '. '))
} else {
replaceTags = (parsedData.replace(':',':<code>').replace('<?','<?').replace('?>','?>').replace(/\n/g, '<br>'))
}
setChatLog([...chatLogNew, { user: "gpt", message: `${replaceTags}`} ])
var scrollToTheBottomChatLog = document.getElementsByClassName("chat-log")[0];
scrollToTheBottomChatLog.scrollTop = scrollToTheBottomChatLog.scrollHeight;
} catch (error) {
const errorMsg = "We apologize for any inconvenience caused due to the delay in the response time. Please try again.";
setChatLog([...chatLogNew, { user: "gpt", message: `<div class="errormsg"><span>i</span><div class="msg">${errorMsg}</div></div>`} ])
}
}
function handleTemp(temp) {
if(temp > 1){
setTemperature(1)
} else if (temp < 0){
setTemperature(0)
} else {
setTemperature(temp)
}
}
return (
<div className="App">
<SideMenu
currentModel={currentModel}
setCurrentModel={setCurrentModel}
models={models}
setTemperature={handleTemp}
temperature={temperature}
clearChat={clearChat}
/>
<ChatBox
chatInput={chatInput}
chatLog={chatLog}
setChatInput={setChatInput}
handleSubmit={handleSubmit} />
</div>
);
}
export default App;