1. update README Zeabur banner

2. fixed bug: This model's maximum context length

3. Fix the logic error of replying to messages in Telegram

README.md

@@ -45,7 +45,8 @@ Join the [Telegram Group](https://t.me/+_01cz9tAkUc1YzZl) chat to share your use
 
 One-click deployment:
 
-[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/templates/R5JY5O?referralCode=yym68686)
+[![Deployed on Zeabur](https://zeabur.com/deployed-on-zeabur-dark.svg)](https://zeabur.com?referralCode=yym68686&utm_source=yym68686&utm_campaign=oss)
+<!-- [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/templates/R5JY5O?referralCode=yym68686) -->
 
 If you need follow-up function updates, the following deployment method is recommended:
 

bot.py

@@ -31,7 +31,7 @@
 translator_prompt = "You are a translation engine, you can only translate text and cannot interpret it, and do not explain. Translate the text to {}, please do not explain any sentences, just translate or leave them as they are. this is the content you need to translate: "
 @decorators.Authorization
 async def command_bot(update, context, language=None, prompt=translator_prompt, title="", robot=None, has_command=True):
-    if update.message.reply_to_message is None:
+    if update.message.reply_to_message is None or update.message.reply_to_message.text:
         if has_command == False or len(context.args) > 0:
             message = update.message.text if config.NICK is None else update.message.text[botNicKLength:].strip() if update.message.text[:botNicKLength].lower() == botNick else None
             if has_command:

chatgpt2api/chatgpt2api.py

@@ -296,6 +296,10 @@ def ask_stream(
             )
             headers = {"Authorization": f"Bearer {kwargs.get('api_key', self.api_key)}"}
 
+        if self.engine == "gpt-4-1106-preview":
+            model_max_tokens = kwargs.get("max_tokens", self.max_tokens)
+        else:
+            model_max_tokens = min(self.get_max_tokens(convo_id=convo_id) - 500, kwargs.get("max_tokens", self.max_tokens))
         json_post = {
                 "model": os.environ.get("MODEL_NAME") or model or self.engine,
                 "messages": self.conversation[convo_id] if pass_history else [{"role": "system","content": self.system_prompt},{"role": role, "content": prompt}],
@@ -313,7 +317,7 @@ def ask_stream(
                 ),
                 "n": kwargs.get("n", self.reply_count),
                 "user": role,
-                "max_tokens": kwargs.get("max_tokens", self.max_tokens),
+                "max_tokens": model_max_tokens,
                 # "max_tokens": min(
                 #     self.get_max_tokens(convo_id=convo_id),
                 #     kwargs.get("max_tokens", self.max_tokens),
@@ -402,6 +406,10 @@ async def ask_stream_async(
             self.reset(convo_id=convo_id, system_prompt=self.system_prompt)
         self.add_to_conversation(prompt, "user", convo_id=convo_id)
         self.__truncate_conversation(convo_id=convo_id)
+        if self.engine == "gpt-4-1106-preview":
+            model_max_tokens = kwargs.get("max_tokens", self.max_tokens)
+        else:
+            model_max_tokens = min(self.get_max_tokens(convo_id=convo_id) - 500, kwargs.get("max_tokens", self.max_tokens))
         # Get response
         async with self.aclient.stream(
             "post",
@@ -424,7 +432,7 @@ async def ask_stream_async(
                 ),
                 "n": kwargs.get("n", self.reply_count),
                 "user": role,
-                "max_tokens": kwargs.get("max_tokens", self.max_tokens),
+                "max_tokens": model_max_tokens,
                 # "max_tokens": min(
                 #     self.get_max_tokens(convo_id=convo_id),
                 #     kwargs.get("max_tokens", self.max_tokens),

requirements.txt

@@ -1,7 +1,7 @@
 --index-url https://pypi.python.org/simple/
 tiktoken
 requests
-python-telegram-bot[webhook,rate-limiter]==20.6
+python-telegram-bot[webhooks,rate-limiter]==20.6
 
 # langchain
 chromadb