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Chatgpt-3.5 api接口调用
一、开启服务
二、api接口代码
import openai
import time
# 设置OpenAI API密钥
openai.api_key = '自己API'
def chat_with_gpt3(prompt):
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": prompt}],
max_tokens=1000,
temperature=0.3,
stop=None,
timeout=15,
)
..................
..................
仅展示部分代码 需要完整代码联系博主
三、搭建网页端聊天界面
from flask import Flask, render_template, request
import openai
app = Flask(__name__)
# 设置OpenAI API密钥
openai.api_key = '自己API'
def chat_with_gpt3(prompt):
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": prompt}],
max_tokens=1000,
temperature=0.3,
stop=None,
timeout=15,
)
@app.route('/', methods=['GET', 'POST'])
.................................
仅展示部分代码 需要完整代码联系博主
if __name__ == '__main__':
app.run(host='0.0.0.0', port=5000, debug=True)
一、开启服务
二、api接口代码
import openai
import time
# 设置OpenAI API密钥
openai.api_key = '自己API'
def chat_with_gpt3(prompt):
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": prompt}],
max_tokens=1000,
temperature=0.3,
stop=None,
timeout=15,
)
..................
..................
仅展示部分代码 需要完整代码联系博主
三、搭建网页端聊天界面
from flask import Flask, render_template, request
import openai
app = Flask(__name__)
# 设置OpenAI API密钥
openai.api_key = '自己API'
def chat_with_gpt3(prompt):
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": prompt}],
max_tokens=1000,
temperature=0.3,
stop=None,
timeout=15,
)
@app.route('/', methods=['GET', 'POST'])
.................................
仅展示部分代码 需要完整代码联系博主
if __name__ == '__main__':
app.run(host='0.0.0.0', port=5000, debug=True)