题意："使用OpenAI API遇到困难"
问题背景：
I am having trouble with this code. I want to implement AI using OpenAI API in my React.js project but I cannot seem to get what the issue is. I ask it a question in the search bar in my project and it says "No response from AI". There is more to it but this is just what I think is having trouble.
"我在这段代码上遇到了困难。我想在我的React.js项目中使用OpenAI API实现AI功能，但似乎找不到问题所在。我在项目中的搜索栏中输入问题时，它显示‘没有收到AI的响应’。还有更多问题，但这就是我认为出问题的地方。"
//LandingPage.js
import React, { useState, useEffect } from 'react';
import { FaSearch } from 'react-icons/fa';
import './App.css';
import { EntryForm } from './EntryForm';
function LandingPage() {
// States related to the Healthy Innovations features
const [search, setSearch] = useState('');
const [showSuggestions, setShowSuggestions] = useState(true);
const [isLoading, setIsLoading] = useState(false);
const [recipeDetails, setRecipeDetails] = useState(null);
const [showWorkoutQuestion, setShowWorkoutQuestion] = useState(false);
const [selectedSuggestion, setSelectedSuggestion] = useState(null);
const [showWorkoutPlan, setShowWorkoutPlan] = useState(false);
const [showCalorieCalculator, setShowCalorieCalculator] = useState(false);
const [workoutSplit, setWorkoutSplit] = useState('');
const [showCalorieQuestion, setShowCalorieQuestion] = useState(false);
const [chatInput, setChatInput] = useState('');
const [chatHistory, setChatHistory] = useState([]);
const [currentTitle, setCurrentTitle]= useState(null)
console.log(chatHistory); // Debugging: Check the structure before rendering
const createNewChat = () => {
// Clears the chat to start a new conversation
setChatInput('');
setCurrentTitle(null)
// No need for setCurrentTitle in this context
};
const renderChatHistory = () =>
chatHistory.map((chat, index) => (
<div key={index} className="chat-history">
<p>Role: {chat.role}</p>
{/* Check if chat.content is a string; if not, handle it appropriately */}
<p>Message: {chat.content}</p>
</div>
));
const handleSearchChange = (e) => {
const inputValue = e.target.value;
setChatInput(inputValue); // Update chatInput instead of search state.
setShowSuggestions(inputValue.length > 0); // Show suggestions if there's input
};
const renderDynamicRecommendations = () => {
// Filter suggestions based on search input
const filteredSuggestions = staticSuggestions.filter(suggestion =>
suggestion.toLowerCase().includes(search.toLowerCase())
);
return (
<ul>
{filteredSuggestions.map((suggestion, index) => (
<li key={index} onClick={() => handleSelectSuggestion(suggestion)} style={{ cursor: 'pointer' }}>
{suggestion}
</li>
))}
</ul>
);
};
const SERVER_URL = "http://localhost:8000/completions";
// Get messages function and other logic remain the same, ensure you're using chatInput for input value management
// Adjusting the getMessages function to handle server response correctly
const getMessages = async () => {
if (!chatInput.trim()) return; // Avoid sending empty messages
setIsLoading(true);
try {
const response = await fetch('http://localhost:8000/completions', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ message: chatInput })
});
if (!response.ok) {
throw new Error(`HTTP error! Status: ${response.status}`);
}
const data = await response.json();
const aiResponse = data.choices && data.choices.length > 0
? data.choices[0].message
: "No response from AI.";
// Update chat history
setChatHistory(prev => [...prev, { role: 'user', content: chatInput }, { role: 'ai', content: aiResponse }]);
setChatInput(''); // Clear the input field
} catch (error) {
console.error('Fetch error:', error);
setChatHistory(prev => [...prev, { role: 'user', content: chatInput }, { role: 'ai', content: "Error communicating with AI." }]);
} finally {
setIsLoading(false);
}
};//server.js
const PORT = 8000
const express = require('express')
const cors = require('cors')
require('dotenv').config()
const app = express()
app.use(express.json())
app.use(cors())
const API_KEY = process.env.API_KEY
app.post('/completions', async (req, res) => {
const options = {
method: "POST",
headers: {
"Authorization": `Bearer ${API_KEY}`,
"Content-Type": "application/json"
},
body: JSON.stringify({
model: "gpt-3.5-turbo",
messages: [{role: "user", content: req.body.message}],
max_tokens: 100,
})
};
try {
const response = await fetch('https://api.openai.com/v1/chat/completions', options);
const data = await response.json();
if (data.choices && data.choices.length > 0 && data.choices[0].message) {
// Adjust this path according to the actual structure of OpenAI's response
res.json({ message: data.choices[0].message.content });
} else {
throw new Error("Invalid response structure from OpenAI API.");
}
} catch (error) {
console.error("Server error:", error);
res.status(500).json({ message: "Failed to get response from AI." });
}
});
app.listen(PORT, () => console.log('Your server is running on PORT'+ PORT)).env file: API_KEY = "api key"
I have tried changing varablies and also seing if I have everything downloaded which I do.
"我尝试过更改变量，也检查了是否已经下载了所有需要的内容，一切都已下载。"
问题解决：
The backend returns a response in a format different from what the frontend expects.
"后端返回的响应格式与前端预期的不一致。"
From server.js
if (data.choices && data.choices.length > 0 && data.choices[0].message) {
res.json({ message: data.choices[0].message.content });
} else {
throw new Error("Invalid response structure from OpenAI API.");
}This will produce json response { message: "response from openai" }
However on the frontend act as if backend return raw response straight from the openai api
"然而，前端的行为却好像后端返回的是直接来自OpenAI API的原始响应。"
const data = await response.json();
const aiResponse = data.choices && data.choices.length > 0
? data.choices[0].message
: "No response from AI."; Here is a fix of the frontend code to match response shape from the backend:
"这是前端代码的修复，以匹配后端返回的响应格式："
const { message } = await response.json();
const aiResponse = message || "No response from AI.";
