LINE聊天機器人,真的不太好設定一個步驟有錯都會卡關,我亦弄好久才得到初體驗,分享給大家
參考來自
https://vocus.cc/article/639da520fd89780001e965d7
詳細步驟流程:
1.取得OPEN API KEY(需自行設定取得)
2.LineBot Channel access token 、Channel secret(需自行設定取得)
3.Vercel 匯入 GitHub 原碼 (建議用GitHub建Vercel 帳號)
4.GitHub 原碼部分(上傳以下三個檔案到自已 GitHub)
index.py

from flask import Flask, request, abort
from linebot import LineBotApi, WebhookHandler
from linebot.exceptions import InvalidSignatureError
from linebot.models import MessageEvent, TextMessage, TextSendMessage
from api.chatgpt import ChatGPT

import os

line_bot_api = LineBotApi(os.getenv("LINE_CHANNEL_ACCESS_TOKEN"))
line_handler = WebhookHandler(os.getenv("LINE_CHANNEL_SECRET"))
working_status = os.getenv("DEFALUT_TALKING", default = "true").lower() == "true"

app = Flask(__name__)
chatgpt = ChatGPT()

# domain root
@app.route('/')
def home():
    return 'Hello, World!'

@app.route("/webhook", methods=['POST'])
def callback():
    # get X-Line-Signature header value
    signature = request.headers['X-Line-Signature']
    # get request body as text
    body = request.get_data(as_text=True)
    app.logger.info("Request body: " + body)
    # handle webhook body
    try:
        line_handler.handle(body, signature)
    except InvalidSignatureError:
        abort(400)
    return 'OK'


@line_handler.add(MessageEvent, message=TextMessage)
def handle_message(event):
    global working_status
    working_status = True
    
    if event.message.type != "text":
        return
    

    if working_status:
        chatgpt.add_msg(f"Human:{event.message.text}?\n")
        reply_msg = chatgpt.get_response().replace("AI:", "", 1)
        chatgpt.add_msg(f"AI:{reply_msg}\n")
        line_bot_api.reply_message(
            event.reply_token,
            TextSendMessage(text=reply_msg))


if __name__ == "__main__":
    app.run()

chatgpt.py

from api.prompt import Prompt

import os
import openai

openai.api_key = os.getenv("OPENAI_API_KEY")

class ChatGPT:
    def __init__(self):
        self.prompt = Prompt()
        self.model = os.getenv("OPENAI_MODEL", default = "text-davinci-003")
        #self.model = os.getenv("OPENAI_MODEL", default = "chatbot")
        self.temperature = float(os.getenv("OPENAI_TEMPERATURE", default = 0))
        self.frequency_penalty = float(os.getenv("OPENAI_FREQUENCY_PENALTY", default = 0))
        self.presence_penalty = float(os.getenv("OPENAI_PRESENCE_PENALTY", default = 0.6))
        self.max_tokens = int(os.getenv("OPENAI_MAX_TOKENS", default = 240))

    def get_response(self):
        response = openai.Completion.create(
            model=self.model,
            prompt=self.prompt.generate_prompt(),
            temperature=self.temperature,
            frequency_penalty=self.frequency_penalty,
            presence_penalty=self.presence_penalty,
            max_tokens=self.max_tokens
        )
        return response['choices'][0]['text'].strip()

    def add_msg(self, text):
        self.prompt.add_msg(text)

prompt.py

import os

chat_language = os.getenv("INIT_LANGUAGE", default = "zh")

MSG_LIST_LIMIT = int(os.getenv("MSG_LIST_LIMIT", default = 20))
LANGUAGE_TABLE = {
  "zh": "嗨！",
  "en": "Hi!"
}

class Prompt:
    def __init__(self):
        self.msg_list = []
        self.msg_list.append(f"AI:{LANGUAGE_TABLE[chat_language]}")
    
    def add_msg(self, new_msg):
        if len(self.msg_list) >= MSG_LIST_LIMIT:
            self.remove_msg()
        self.msg_list.append(new_msg)

    def remove_msg(self):
        self.msg_list.pop(0)

    def generate_prompt(self):
        return '\n'.join(self.msg_list)

5.Vercel Environment Variables 環境設定(帶入PYTHON 參數)

6.LineBot Webhook(一定要有成功畫面)

當以上這麼多設定都成功後便會得到以下Line BOT 回應,成為真正的LINE聊天機器人,我試很久才弄出來如下: