调用百度文心千帆API的简单对话程序
百度的文心千帆出来了，个人感觉还是比不上CHAT GPT 3.5，但是好歹充钱方便了。
写了个demo玩玩，用python-flask做后端，实现对话交互。
app.py
from flask import Flask, render_template, request, jsonify, make_response
import requests
import uuid
app = Flask(__name__)
# 替换成您的API Key和Secret Key
API_KEY = ""
SECRET_KEY = ""
# 获取access_token
TOKEN_URL = f"https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id={API_KEY}&client_secret={SECRET_KEY}"
response = requests.get(TOKEN_URL)
ACCESS_TOKEN = response.json()["access_token"]
# 定义ERNIE-Bot聊天接口地址
CHAT_API_URL = f"https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions?access_token={ACCESS_TOKEN}"
user_chat_histories = {}
@app.route("/")
def index():
sessionid = str(uuid.uuid4())[:16] # 生成随机的16位sessionid
resp = make_response(render_template("index.html"))
resp.set_cookie("sessionid", sessionid) # 将sessionid存储在Cookie中
return resp
@app.route("/chat", methods=["POST"])
def chat_with_ernie_bot():
# 从前端获取用户输入的对话内容和sessionid
user_id = request.cookies.get("sessionid")
user_input = request.json["user_input"]
# 获取该用户的对话历史，如果用户是首次对话，则新建一个空列表作为其对话历史
user_history = user_chat_histories.get(user_id, [])
# 将用户输入添加到对话历史中
user_history.append({"role": "user", "content": user_input})
# 调用ERNIE-Bot聊天接口
headers = {"Content-Type": "application/json"}
data = {"messages": user_history}
print(user_id,data)
response = requests.post(CHAT_API_URL, headers=headers, json=data)
result = response.json()["result"]
print(result)
user_history.append({"role": "assistant", "content": result})
user_chat_histories[user_id] = user_history
return jsonify({"response": result})
if __name__ == "__main__":
app.run(host='0.0.0.0',port=13333,debug=False)index.html
<!DOCTYPE html>
<html>
<head>
<title>ERNIE-Bot Chat</title>
<script src="https://www.hyluz.cn/marked.min.js"></script>
</head>
<body>
<h1>ERNIE-Bot Chat</h1>
<div id="chat-container">
<div id="chat-history"></div>
<input type="text" id="user-input" placeholder="输入您的消息..." />
<button id="send-button" onclick="sendMessage()">发送</button>
</div>
<script>
const chatHistory = document.getElementById("chat-history");
const userInput = document.getElementById("user-input");
function getCookie(name) {
const value = "; " + document.cookie;
const parts = value.split("; " + name + "=");
if (parts.length === 2) return parts.pop().split(";").shift();
}
function addMessageToChatHistory(role, message) {
const messageElement = document.createElement("div");
messageElement.className = role;
messageElement.innerHTML = marked.parse(message);
chatHistory.appendChild(messageElement);
}
function sendMessage() {
const userMessage = userInput.value.trim();
if (!userMessage) {
return;
}
const userId = getCookie("sessionid");
addMessageToChatHistory("user", "用户: " + userMessage);
fetch("/chat", {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify({ "user_id": userId, "user_input": userMessage }),
})
.then(response => response.json())
.then(data => {
const botResponse = data.response;
addMessageToChatHistory("assistant", "GPT: " + botResponse);
})
.catch(error => {
console.error("Error:", error);
});
userInput.value = "";
}
</script>
</body>
</html>运行示例
简单实现了一下，也不说多精致了，算是粗制烂造吧。
体验demo：https://qianfan.hyluz.cn/ 二十块体验额度用完为止
