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feat: add options to set voice bot

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lanvent
2023-03-25 18:08:37 +08:00
parent da18e3312a
commit cd86801eac
3 changed files with 100 additions and 59 deletions
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70
bot/chatgpt/chat_gpt_bot.py
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@@ -76,6 +76,16 @@ class ChatGPTBot(Bot):
reply = Reply(ReplyType.ERROR, 'Bot不支持处理{}类型的消息'.format(context.type))
return reply
def compose_args(self):
return {
"model": conf().get("model") or "gpt-3.5-turbo", # 对话模型的名称
"temperature":conf().get('temperature', 0.9), # 值在[0,1]之间，越大表示回复越具有不确定性
# "max_tokens":4096, # 回复最大的字符数
"top_p":1,
"frequency_penalty":conf().get('frequency_penalty', 0.0), # [-2,2]之间，该值越大则更倾向于产生不同的内容
"presence_penalty":conf().get('presence_penalty', 0.0), # [-2,2]之间，该值越大则更倾向于产生不同的内容
}
def reply_text(self, session, session_id, retry_count=0) -> dict:
'''
call openai's ChatCompletion to get the answer
@@ -88,13 +98,7 @@ class ChatGPTBot(Bot):
if conf().get('rate_limit_chatgpt') and not self.tb4chatgpt.get_token():
return {"completion_tokens": 0, "content": "提问太快啦，请休息一下再问我吧"}
response = openai.ChatCompletion.create(
model= conf().get("model") or "gpt-3.5-turbo", # 对话模型的名称
messages=session,
temperature=conf().get('temperature', 0.9), # 值在[0,1]之间，越大表示回复越具有不确定性
#max_tokens=4096, # 回复最大的字符数
top_p=1,
frequency_penalty=conf().get('frequency_penalty', 0.0), # [-2,2]之间，该值越大则更倾向于产生不同的内容
presence_penalty=conf().get('presence_penalty', 0.0), # [-2,2]之间，该值越大则更倾向于产生不同的内容
messages=session, **self.compose_args()
)
# logger.info("[ChatGPT] reply={}, total_tokens={}".format(response.choices[0]['message']['content'], response["usage"]["total_tokens"]))
return {"total_tokens": response["usage"]["total_tokens"],
@@ -156,53 +160,11 @@ class AzureChatGPTBot(ChatGPTBot):
openai.api_type = "azure"
openai.api_version = "2023-03-15-preview"
def reply_text(self, session, session_id, retry_count=0) ->dict:
'''
call openai's ChatCompletion to get the answer
:param session: a conversation session
:param session_id: session id
:param retry_count: retry count
:return: {}
'''
try:
if conf().get('rate_limit_chatgpt') and not self.tb4chatgpt.get_token():
return {"completion_tokens": 0, "content": "提问太快啦，请休息一下再问我吧"}
response = openai.ChatCompletion.create(
engine=conf().get("model") or "gpt-3.5-turbo", # the model deployment name on Azure
messages=session,
temperature=conf().get('temperature', 0.9), # 值在[0,1]之间，越大表示回复越具有不确定性
#max_tokens=4096, # 回复最大的字符数
top_p=1,
frequency_penalty=conf().get('frequency_penalty', 0.0), # [-2,2]之间，该值越大则更倾向于产生不同的内容
presence_penalty=conf().get('presence_penalty', 0.0), # [-2,2]之间，该值越大则更倾向于产生不同的内容
)
# logger.info("[ChatGPT] reply={}, total_tokens={}".format(response.choices[0]['message']['content'], response["usage"]["total_tokens"]))
return {"total_tokens": response["usage"]["total_tokens"],
"completion_tokens": response["usage"]["completion_tokens"],
"content": response.choices[0]['message']['content']}
except openai.error.RateLimitError as e:
# rate limit exception
logger.warn(e)
if retry_count < 1:
time.sleep(5)
logger.warn("[OPEN_AI] RateLimit exceed, 第{}次重试".format(retry_count+1))
return self.reply_text(session, session_id, retry_count+1)
else:
return {"completion_tokens": 0, "content": "提问太快啦，请休息一下再问我吧"}
except openai.error.APIConnectionError as e:
# api connection exception
logger.warn(e)
logger.warn("[OPEN_AI] APIConnection failed")
return {"completion_tokens": 0, "content":"我连接不到你的网络"}
except openai.error.Timeout as e:
logger.warn(e)
logger.warn("[OPEN_AI] Timeout")
return {"completion_tokens": 0, "content":"我没有收到你的消息"}
except Exception as e:
# unknown exception
logger.exception(e)
Session.clear_session(session_id)
return {"completion_tokens": 0, "content": "请再问我一次吧"}
def compose_args(self):
args = super().compose_args()
args["engine"] = args["model"]
del(args["model"])
return args
class SessionManager(object):