Update gpt-3.5-turbo model

.env.example

@@ -1,5 +1,5 @@
 OPENAI_API = 
-OPENAI_MODEL_ENGINE = 'text-davinci-003'
-OPENAI_MAX_TOKENS = 1024
+OPENAI_MODEL_ENGINE = 'gpt-3.5-turbo'
+SYSTEM_MESSAGE = 'You are a helpful assistant.'
 LINE_CHANNEL_SECRET = 
 LINE_CHANNEL_ACCESS_TOKEN = 

README.en.md

@@ -4,6 +4,11 @@
 
 [![license](https://img.shields.io/pypi/l/ansicolortags.svg)](LICENSE) [![Release](https://img.shields.io/github/v/release/TheExplainthis/ChatGPT-Line-Bot)](https://github.com/TheExplainthis/ChatGPT-Line-Bot/releases/)
 
+
+## Update
+- 2023/03/03 Model change to chat completion: `gpt-3.5-turbo`
+
+
 ## Introduction
 Import the ChatGPT bot to Line and start interacting with it by simply typing text in the input box. In addition to ChatGPT, the model for DALL·E 2 is also integrated. Enter `/imagine + text` to return the corresponding image, as shown in the figure below:
 

README.md

@@ -4,6 +4,11 @@
 
 [![license](https://img.shields.io/pypi/l/ansicolortags.svg)](LICENSE) [![Release](https://img.shields.io/github/v/release/TheExplainthis/ChatGPT-Line-Bot)](https://github.com/TheExplainthis/ChatGPT-Line-Bot/releases/)
 
+
+## 更新
+- 2023/03/03 模型換成 chat completion: `gpt-3.5-turbo`
+
+
 ## 介紹
 在 Line 中去導入 ChatGPT Bot，只要在輸入框直接輸入文字，即可與 ChatGPT 開始互動，除了 ChatGPT 以外，也直接串上了 DALL·E 2 的模型，輸入 `/imagine + 文字`，就會回傳相對應的圖片，如下圖所示：
 

main.py

@@ -22,9 +22,9 @@
 line_bot_api = LineBotApi(os.getenv('LINE_CHANNEL_ACCESS_TOKEN'))
 handler = WebhookHandler(os.getenv('LINE_CHANNEL_SECRET'))
 
-models = OpenAIModel(api_key=os.getenv('OPENAI_API'), model_engine=os.getenv('OPENAI_MODEL_ENGINE'), max_tokens=int(os.getenv('OPENAI_MAX_TOKENS')))
+models = OpenAIModel(api_key=os.getenv('OPENAI_API'), model_engine=os.getenv('OPENAI_MODEL_ENGINE'))
 
-memory = Memory()
+memory = Memory(system_message=os.getenv('SYSTEM_MESSAGE'))
 chatgpt = ChatGPT(models, memory)
 dalle = DALLE(models)
 

src/chatgpt.py

@@ -3,17 +3,17 @@
 
 
 class ChatGPT:
-    def __init__(self, model: ModelInterface, memory: MemoryInterface = None):
+    def __init__(self, model: ModelInterface, memory: MemoryInterface):
         self.model = model
         self.memory = memory
 
     def get_response(self, user_id: str, text: str) -> str:
-        prompt = text if self.memory is None else f'{self.memory.get(user_id)}\n\n{text}'
-        response = self.model.text_completion(f'{prompt} <|endoftext|>')
-        if self.memory is not None:
-            self.memory.append(user_id, prompt)
-            self.memory.append(user_id, response)
-        return response
+        self.memory.append(user_id, {'role': 'user', 'content': text})
+        response = self.model.chat_completion(self.memory.get(user_id))
+        role = response['choices'][0]['message']['role']
+        content = response['choices'][0]['message']['content']
+        self.memory.append(user_id, {'role': role, 'content': content})
+        return content
 
     def clean_history(self, user_id: str) -> None:
         self.memory.remove(user_id)

src/memory.py

@@ -1,8 +1,9 @@
+from typing import Dict
 from collections import defaultdict
 
 
 class MemoryInterface:
-    def append(self, user_id: str, text: str) -> None:
+    def append(self, user_id: str, message: Dict) -> None:
         pass
 
     def get(self, user_id: str) -> str:
@@ -13,15 +14,23 @@ def remove(self, user_id: str) -> None:
 
 
 class Memory(MemoryInterface):
-    def __init__(self):
+    def __init__(self, system_message):
         self.storage = defaultdict(list)
+        self.system_message = system_message
 
-    def append(self, user_id: str, text: str) -> None:
-        self.storage[user_id].append(text)
+    def initialize(self, user_id: str):
+        self.storage[user_id] = [{
+            'role': 'system', 'content': self.system_message
+        }]
+
+    def append(self, user_id: str, message: Dict) -> None:
+        print(user_id)
+        if self.storage[user_id] == []:
+            self.initialize(user_id)
+        self.storage[user_id].append(message)
 
     def get(self, user_id: str) -> str:
-        HISTORY_MESSAGE_COUNT = 3
-        return '\n\n'.join(self.storage.get(user_id, [])[-HISTORY_MESSAGE_COUNT:])
+        return self.storage[user_id]
 
     def remove(self, user_id: str) -> None:
         self.storage[user_id] = []

src/models.py

@@ -1,31 +1,27 @@
+from typing import List, Dict
 import openai
 
 
 class ModelInterface:
-    def text_completion(self, prompt: str) -> str:
+    def chat_completion(self, messages: List[Dict]) -> str:
         pass
 
     def image_generation(self, prompt: str) -> str:
         pass
 
 
 class OpenAIModel(ModelInterface):
-    def __init__(self, api_key: str, model_engine: str, max_tokens: int = 128, image_size: str = '512x512'):
+    def __init__(self, api_key: str, model_engine: str, image_size: str = '512x512'):
         openai.api_key = api_key
         self.model_engine = model_engine
-        self.max_tokens = max_tokens
         self.image_size = image_size
 
-    def text_completion(self, prompt: str) -> str:
-        response = openai.Completion.create(
-            engine=self.model_engine,
-            prompt=prompt,
-            max_tokens=self.max_tokens,
-            stop=None,
-            temperature=0.5,
+    def chat_completion(self, messages) -> str:
+        response = openai.ChatCompletion.create(
+            model=self.model_engine,
+            messages=messages
         )
-        text = response.choices[0].text.strip()
-        return text
+        return response
 
     def image_generation(self, prompt: str) -> str:
         response = openai.Image.create(