基于Flask框架,用python编写一个可以访问ChatGPT的代码。要求:1、没有返回响应时,页面显示等待状态;2、可以连续问答;3、ChatGPT可以根据上下文和历史信息做出响应。请结合上述要求,给出完整的代码和实现步骤。
时间: 2023-02-27 10:10:25 浏览: 78
首先,您需要安装Flask和OpenAI的SDK:
```
pip install flask openai
```
然后,创建一个名为`app.py`的文件,并编写如下代码:
```
import openai
import os
from flask import Flask, request, render_template
app = Flask(__name__)
openai.api_key = "YOUR_OPENAI_API_KEY"
conversations = {}
@app.route("/")
def index():
return render_template("index.html")
@app.route("/ask", methods=["POST"])
def ask():
conversation_id = request.form["conversation_id"]
message = request.form["message"]
if conversation_id not in conversations:
conversations[conversation_id] = []
response = openai.Completion.create(
engine="text-davinci-002",
prompt=" ".join(conversations[conversation_id] + [message]),
max_tokens=1024,
n=1,
stop=None,
temperature=0.5,
).choices[0].text
conversations[conversation_id].append(message)
conversations[conversation_id].append(response)
return response
if __name__ == "__main__":
app.run()
```
接下来,在当前目录下创建一个名为`templates`的目录,并在该目录下创建一个名为`index.html`的文件,编写如下代码:
```
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Chat with OpenAI</title>
<script>
function sendMessage() {
const message = document.getElementById("message").value;
const conversationId = document.getElementById("conversationId").value;
const xhr = new XMLHttpRequest();
xhr.open("POST", "/ask");
xhr.setRequestHeader("Content-Type", "application/x-www-form-urlencoded");
xhr.onload = function() {
if (xhr.status === 200) {
const response = xhr.responseText;
const responseContainer = document.getElementById("response");
responseContainer.innerHTML = response;
}
};
xhr.send(`message=${encodeURIComponent(message)}&conversationId=${encodeURIComponent(conversationId)}`);
}
</script>
</head>
<body>
<h1>Chat with OpenAI</h1>
<input type
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