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react-chatGPT-clone
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Updated to work with the latest ChatGPT model (#9) 

fix: formatting issues with the chat logs, messages loading, and styles
This commit is contained in:
Cristian Castro Oliva 2024-05-01 20:20:05 -07:00 committed by GitHub
parent 6d93756441
commit aa753329da
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GPG Key ID: B5690EEEBB952194
4 changed files with 463 additions and 169 deletions
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156
client/src/pages/Home.jsx
View File

@ -12,62 +12,55 @@ const Home = () => {
const [inputPrompt, setInputPrompt] = useState(""); const [inputPrompt, setInputPrompt] = useState("");
const [chatLog, setChatLog] = useState([]); const [chatLog, setChatLog] = useState([]);
const [err, setErr] = useState(false); const [err, setErr] = useState(false);
const [responseFromAPI, setReponseFromAPI] = useState(false); const [responseFromAPI, setResponseFromAPI] = useState(false);
const chatLogRef = useRef(null); const chatLogEndRef = useRef(null);
const handleSubmit = (e) => { const handleSubmit = async (e) => {
e.preventDefault(); e.preventDefault();
if (!responseFromAPI && inputPrompt.trim() !== "") {
const newChatLogEntry = { chatPrompt: inputPrompt, botMessage: null };
setChatLog((prevChatLog) => [...prevChatLog, newChatLogEntry]);
if (!responseFromAPI) { // hide the keyboard in mobile devices
if (inputPrompt.trim() !== "") { e.target.querySelector("input").blur();
// Set responseFromAPI to true before making the fetch request
setReponseFromAPI(true);
setChatLog([...chatLog, { chatPrompt: inputPrompt }]);
callAPI();
// hide the keyboard in mobile devices setInputPrompt(""); // Clear input after submitting
e.target.querySelector("input").blur(); setResponseFromAPI(true); // Indicate that a response is being awaited
}
async function callAPI() { try {
try { const response = await fetch("http://localhost:4000/respond", {
const response = await fetch("https://talk-bot.onrender.com/", { method: "POST",
method: "POST", headers: { "Content-Type": "application/json" },
headers: { "Content-Type": "application/json" }, body: JSON.stringify({ message: inputPrompt }),
body: JSON.stringify({ message: inputPrompt }), });
}); const data = await response.json();
const data = await response.json();
setChatLog([ // Update chat log with the new response
...chatLog, setChatLog((prevChatLog) => [
{ ...prevChatLog.slice(0, prevChatLog.length - 1), // all entries except the last
chatPrompt: inputPrompt, { ...newChatLogEntry, botMessage: data.botResponse }, // update the last entry with the bot's response
botMessage: data.botResponse, ]);
},
]); setErr(false);
setErr(false); } catch (error) {
} catch (err) { setErr(error);
setErr(err); console.error(error);
console.log(err); } finally {
} setResponseFromAPI(false); // Reset after receiving the response
// Set responseFromAPI back to false after the fetch request is complete
setReponseFromAPI(false);
} }
} }
setInputPrompt("");
}; };
useEffect(() => { useEffect(() => {
if (chatLogRef.current) { // Scroll to the bottom of the chat log to show the latest message
chatLogRef.current.scrollIntoView({ if (chatLogEndRef.current) {
chatLogEndRef.current.scrollIntoView({
behavior: "smooth", behavior: "smooth",
block: "end", block: "end",
}); });
} }
}, [chatLog]);
return () => {};
}, []);
return ( return (
<> <>
@ -127,61 +120,36 @@ const Home = () => {
<section className="chatBox"> <section className="chatBox">
{chatLog.length > 0 ? ( {chatLog.length > 0 ? (
<div className="chatLogWrapper"> <div className="chatLogWrapper">
{chatLog.length > 0 && {chatLog.map((chat, idx) => (
chatLog.map((chat, idx) => ( <div className="chatLog" key={chat.id} id={`chat-${chat.id}`}>
<div {/* User message */}
className="chatLog" <div className="chatPromptMainContainer">
key={idx} <div className="chatPromptWrapper">
ref={chatLogRef} <Avatar bg="#5437DB" className="userSVG">
id={`navPrompt-${chat.chatPrompt.replace( {/* User avatar */}
/[^a-zA-Z0-9]/g, </Avatar>
"-" <div id="chatPrompt">{chat.chatPrompt}</div>
)}`}
>
<div className="chatPromptMainContainer">
<div className="chatPromptWrapper">
<Avatar bg="#5437DB" className="userSVG">
<svg
stroke="currentColor"
fill="none"
strokeWidth={1.9}
viewBox="0 0 24 24"
// strokeLinecap="round"
// strokeLinejoin="round"
className="h-6 w-6"
height={40}
width={40}
xmlns="http://www.w3.org/2000/svg"
>
<path d="M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2" />
<circle cx={12} cy={7} r={4} />
</svg>
</Avatar>
<div id="chatPrompt">{chat.chatPrompt}</div>
</div>
</div>
<div className="botMessageMainContainer">
<div className="botMessageWrapper">
<Avatar bg="#11a27f" className="openaiSVG">
<SvgComponent w={41} h={41} />
</Avatar>
{chat.botMessage ? (
<div id="botMessage">
<BotResponse
response={chat.botMessage}
chatLogRef={chatLogRef}
/>
</div>
) : err ? (
<Error err={err} />
) : (
<Loading />
)}
</div>
</div> </div>
</div> </div>
))} {/* Bot response */}
<div className="botMessageMainContainer">
<div className="botMessageWrapper">
<Avatar bg="#11a27f" className="openaiSVG">
{/* Bot avatar */}
</Avatar>
{chat.botMessage === "Loading..." ? (
<Loading />
) : err ? (
<Error err={err} />
) : (
<div id="botMessage">{chat.botMessage}</div>
)}
</div>
</div>
</div>
))}
<div ref={chatLogEndRef} />{" "}
{/* Invisible element to scroll into view */}
</div> </div>
) : ( ) : (
<IntroSection /> <IntroSection />

51
server/index.js
View File

@ -1,33 +1,42 @@
require("dotenv").config(); require("dotenv").config();
const { OpenAI } = require("openai");
const express = require("express"); const express = require("express");
const app = express();
const port = 4000;
const { Configuration, OpenAIApi } = require("openai");
const configuration = new Configuration({
apiKey: process.env.REACT_APP_OPENAI_API_KEY,
});
const openai = new OpenAIApi(configuration);
// adding body-parser and cors
const bodyParser = require("body-parser"); const bodyParser = require("body-parser");
const cors = require("cors"); const cors = require("cors");
// Initialize express app
const app = express();
const port = 4000;
const openai = new OpenAI({
apiKey: process.env.OPENAI_API_KEY, // This is also the default, can be omitted
});
// Middleware
app.use(bodyParser.json()); app.use(bodyParser.json());
app.use(cors()); app.use(cors());
app.post("/", async (req, res) => { // Route to handle POST requests
const { message } = req.body; app.post("/respond", async (req, res) => {
const response = await openai.createCompletion({ try {
model: "text-davinci-003", const { message } = req.body;
prompt: message, console.log("MESSAGE: ", message);
max_tokens: 3000, const chatCompletion = await openai.chat.completions.create({
temperature: 0.3, model: "gpt-3.5-turbo",
}); messages: [{ role: "user", content: message }],
res.json({ botResponse: response.data.choices[0].text }); });
console.log("PASSED");
console.log("OpenAI Response:", chatCompletion.choices[0].message.content);
// Send the ChatGPT response back to the client
res.json({ botResponse: chatCompletion.choices[0].message.content });
} catch (error) {
console.error("Error calling OpenAI:", error);
res.status(500).json({ error: "Failed to generate response from OpenAI" });
}
}); });
// Start the server
app.listen(port, () => { app.listen(port, () => {
console.log(`Example app listening on port ${port}`); console.log(`Server listening on port ${port}`);
}); });

423
server/package-lock.json generated
View File

@ -14,7 +14,35 @@
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@ -29,6 +57,17 @@
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@ -39,6 +78,11 @@
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@ -98,6 +142,14 @@
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} }
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@ -186,6 +246,15 @@
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@ -278,25 +355,6 @@
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2
server/package.json
View File

@ -14,6 +14,6 @@
"dotenv": "^16.0.3", "dotenv": "^16.0.3",
"express": "^4.18.2", "express": "^4.18.2",
"morgan": "^1.10.0", "morgan": "^1.10.0",
"openai": "^3.1.0" "openai": "^4.28.4"
} }
} }