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

View File

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

View File

@ -1,33 +1,42 @@
require("dotenv").config();
const { OpenAI } = require("openai");
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 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(cors());
app.post("/", async (req, res) => {
const { message } = req.body;
const response = await openai.createCompletion({
model: "text-davinci-003",
prompt: message,
max_tokens: 3000,
temperature: 0.3,
});
res.json({ botResponse: response.data.choices[0].text });
// Route to handle POST requests
app.post("/respond", async (req, res) => {
try {
const { message } = req.body;
console.log("MESSAGE: ", message);
const chatCompletion = await openai.chat.completions.create({
model: "gpt-3.5-turbo",
messages: [{ role: "user", content: message }],
});
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, () => {
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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@ -98,6 +142,14 @@
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@ -153,6 +205,14 @@
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@ -186,6 +246,15 @@
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@ -220,6 +289,14 @@
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@ -278,25 +355,6 @@
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@ -310,6 +368,31 @@
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}

View File

@ -14,6 +14,6 @@
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