修正至可用狀態

README.md

@@ -1,8 +1,10 @@
 # GPT-Linebot using python flask on vercel 
 
-* last updated: 2022/12/15
+* last updated: 2023/10/9
+  - 更新說明 by [willismax](willismax/GPT-Linebot-python-flask-on-vercel)
+    - vercel.json修正，改為第2版
+    - 修正單純安裝Flask==2.2.2 會與 Werkzeug 衝突的問題，在 requirements.txt 添加 Werkzeug==2.3.7 ([參考stack overflow](https://stackoverflow.com/questions/77213053/importerror-cannot-import-name-url-quote-from-werkzeug-urls))
 
-本文同步更新至我的個人網站：[【Side Project】(全圖文教學) 用 Python flask 實作類似 ChatGPT 的 Linebot，並部屬至 vercel 上](https://www.wongwonggoods.com/portfolio/personal_project/gpt-linebot-python-flask-for-vercel/)
 
 > `本篇教學無經驗的新手也可學習，無須寫任何程式。`
 > 
@@ -233,12 +235,16 @@ Import Git Repository，選擇你剛剛 fork 的專案 import
 
 
 # 靈感來源
+* 本文同步更新至我的個人網站：[【Side Project】(全圖文教學) 用 Python flask 實作類似 ChatGPT 的 Linebot，並部屬至 vercel 上](https://www.wongwonggoods.com/portfolio/personal_project/gpt-linebot-python-flask-for-vercel/)
 
 * 感謝 [memochou1993/gpt-ai-assistant](https://github.com/memochou1993/gpt-ai-assistant?fbclid=IwAR25uqLdKoDKEQd591fSjyM2sDJJR3Xb-VgcXDIFV_7i3RMWWv2oiyG26RQ) 提供的 node.js 版本串接 vercel 示範，讓我有了想把 python linebot 也串進 vercel 的靈感，(目前感覺下來，免費又好用(?))
 * 感謝 [Lanznx/HealthLineBot](https://github.com/Lanznx/HealthLineBot) 給了一個很好的 python Django 範例，然而我不會 Django XD，vercel 官方文件好像也沒有提到這部份，總之後來就改成了 flask 版本，也符合 linebot 推薦的範例。
 
+
+
 # 參考資料
 
 * Line 官方提供的 python flask 製作 linebot 的 sample code [line/line-bot-sdk-python](https://github.com/line/line-bot-sdk-python)
 * Vercel 官方提供的 python runtime Flask 範例 [Deploy an example with Flask](https://vercel.com/docs/concepts/functions/serverless-functions/runtimes/python#python-version)
 
+

api/chatgpt.py

@@ -1,30 +1,24 @@
 from api.prompt import Prompt
-
 import os
-import openai
+from openai import OpenAI
+client = OpenAI()
 
-openai.api_key = os.getenv("OPENAI_API_KEY")
+client.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 = "gpt-4-1106-preview")
         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))
+        self.max_tokens = int(os.getenv("OPENAI_MAX_TOKENS", default = 500))
 
     def get_response(self):
-        response = openai.Completion.create(
+        response = client.chat.completions.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
+            messages=self.prompt.generate_prompt(),
         )
-        return response['choices'][0]['text'].strip()
+        return response.choices[0].message.content
 
     def add_msg(self, text):
         self.prompt.add_msg(text)

api/prompt.py

@@ -2,24 +2,26 @@
 
 chat_language = os.getenv("INIT_LANGUAGE", default = "zh")
 
-MSG_LIST_LIMIT = int(os.getenv("MSG_LIST_LIMIT", default = 20))
+MSG_LIST_LIMIT = int(os.getenv("MSG_LIST_LIMIT", default = 7))
 LANGUAGE_TABLE = {
   "zh": "哈囉！",
   "en": "Hello!"
 }
 
+AI_GUIDELINES = '你是一個AI助教，會用蘇格拉底教學法代替老師初步回應，如果有需要會提醒學生跟老師確認'
+
 class Prompt:
     def __init__(self):
         self.msg_list = []
-        self.msg_list.append(f"AI:{LANGUAGE_TABLE[chat_language]}")
-
+        self.msg_list.append(
+            {
+                "role": "system", 
+                "content": f"{LANGUAGE_TABLE[chat_language]}, {AI_GUIDELINES})"
+             })    
     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)
+            self.msg_list.pop(0)
+        self.msg_list.append({"role": "user", "content": new_msg})
 
     def generate_prompt(self):
-        return '\n'.join(self.msg_list)
+        return self.msg_list

requirements.txt

@@ -1,3 +1,4 @@
-Flask==2.2.2
+flask==2.2.2
+Werkzeug==2.3.7
 line-bot-sdk
-openai
+openai

vercel.json

@@ -1,14 +1,15 @@
 {
+  "version": 2,
   "builds": [
-    {
-      "src": "api/index.py",
-      "use": "@vercel/python"
-    }
+      {
+          "src": "api/index.py",
+          "use": "@vercel/python"
+      }
   ],
   "routes": [
-    {
-      "src": "/(.*)",
-      "dest": "api/index.py"
-    }
+      {
+        "src": "/(.*)", 
+        "dest": "api/index.py"
+      }
   ]
-}
+}