chatGPTFlaskWebAPI

This a chatGPT API of openAI using python flask, HTML,jquery.

Introduction

This code implements any front-end web static page to call the python version of the chatGPT API, which is convenient for websites to integrate relevant applications into their own business. The general requirement is this: I have a website, but in the area that chatGPT cannot access, I need to submit a local data request to the proxy server, get the answer, and complete the business logic.

Question

Here's what happens when we call the openAI API: 1, The questions will wait a long time. 2, Unstable. 3, there is a danger of title. 4, can only be used locally, not remotely called. 5. There are various problems with PHP or other request versions.

Method

1, python version of openAI installed, using the original module call, faster, better compatibility, and will not be blocked. 2, Use python modules such as flask to publish port web services. 3, Create a static web page by yourself. You can use html+jquery and eventSource to output stream information to the web page from the server. 4, Use stream mode to get openAI's data.

Preparation

install openai

pip install openai

pip install flask

pip install flask-cors

make a flask app with:

from flask import Flask, render_template, request, session
import flask
import os
import openai
app = Flask(__name__)
app.config['SECRET_KEY'] = os.urandom(24)
@app.route("/chatgpt",methods=["POST","GET"])

create a webpage using html/jquery in your website

Use eventSource to push the question onmessage:meet [done] stop,others continue..

var source = new EventSource("http://xxx.xxx.xxx:port/chatgpt?question="+q);
source.onmessage = function(event){
    if(event.data == "[DONE]"){
       //do something..
        source.close()
    }else{
        //show in some divs innerHTML
    }
 }

::You should put the code page on your website,not together with app.py:: In the flask app,get the question parameter

question = request.args.get("question","")
question = str(question).strip()

Create a python function use def to connect openai:

def stream():
  openai.api_key = "YOUR API-KEY"
  response = openai.ChatCompletion.create(
      model="gpt-3.5-turbo",
      messages=[
      {"role": "user", "content": question}
      ],
      temperature=0,
      #max_tokens=1000,
      stream=True,
      #top_p=1,
      #frequency_penalty=0,
      #presence_penalty=0,
      #user='Wemio机器人'
  )
  for trunk in response:
      if trunk['choices'][0]['finish_reason'] is not None:
          data = '[DONE]'
      else:
          data = trunk['choices'][0]['delta'].get('content','')
      yield "data: %s\n\n" % data.replace("\n","<br>")
  return flask.Response(stream(),mimetype="text/event-stream")

Then call the function to onload the app:

return render_template('chatpgt.html')
#PAT:the page is in directory of "templates/"

Last run the app:

app.run(host="0.0.0.0", port=5000, debug=True)

The port you can customize,use 0.0.0.0 to auto fetch.

##CONTACT Wechat official account:simcode