feat: support image create for group voice

This commit is contained in:
lanvent
2023-03-27 18:57:18 +08:00
2 changed files with 57 additions and 14 deletions

View File

@@ -112,7 +112,7 @@ pip3 install --upgrade tiktoken
"image_create_prefix": ["画", "看", "找"], # 开启图片回复的前缀
"conversation_max_tokens": 1000, # 支持上下文记忆的最多字符数
"speech_recognition": false, # 是否开启语音识别
"group_speech_recognition": false, # 是否开启群组语音识别 目前仅支持wechaty
"group_speech_recognition": false, # 是否开启群组语音识别
"use_azure_chatgpt": false, # 是否使用Azure ChatGPT service代替openai ChatGPT service. 当设置为true时需要设置 open_ai_api_base如 https://xxx.openai.azure.com/
"character_desc": "你是ChatGPT, 一个由OpenAI训练的大型语言模型, 你旨在回答并解决人们的任何问题,并且可以使用多种语言与人交流。", # 人格描述,
}
@@ -133,8 +133,8 @@ pip3 install --upgrade tiktoken
**3.语音识别**
+ 添加 `"speech_recognition": true` 将开启语音识别默认使用openai的whisper模型识别为文字同时以文字回复该参数仅支持私聊 (注意由于语音消息无法匹配前缀,一旦开启将对所有语音自动回复)
+ 添加 `"group_speech_recognition": true` 将开启群组语音识别默认使用openai的whisper模型识别为文字同时以文字回复参数仅支持群聊 (可以匹配group_chat_prefix和group_chat_keyword目前仅支持wechaty方案)
+ 添加 `"speech_recognition": true` 将开启语音识别默认使用openai的whisper模型识别为文字同时以文字回复该参数仅支持私聊 (注意由于语音消息无法匹配前缀,一旦开启将对所有语音自动回复,支持语音触发画图)
+ 添加 `"group_speech_recognition": true` 将开启群组语音识别默认使用openai的whisper模型识别为文字同时以文字回复参数仅支持群聊 (匹配group_chat_prefix和group_chat_keyword, 支持语音触发画图)
+ 添加 `"voice_reply_voice": true` 将开启语音回复语音同时作用于私聊和群聊但是需要配置对应语音合成平台的key由于itchat协议的限制只能发送语音mp3文件若使用wechaty则回复的是微信语音。
**4.其他配置**

View File

@@ -33,18 +33,20 @@ def handler_single_msg(msg):
WechatChannel().handle_text(msg)
return None
@itchat.msg_register(TEXT, isGroupChat=True)
def handler_group_msg(msg):
WechatChannel().handle_group(msg)
return None
@itchat.msg_register(VOICE)
def handler_single_voice(msg):
WechatChannel().handle_voice(msg)
return None
@itchat.msg_register(VOICE, isGroupChat=True)
def handler_group_voice(msg):
WechatChannel().handle_group_voice(msg)
return None
class WechatChannel(Channel):
def __init__(self):
@@ -101,7 +103,6 @@ class WechatChannel(Channel):
context.kwargs = {'isgroup': False, 'msg': msg, 'receiver': other_user_id, 'session_id': other_user_id}
thread_pool.submit(self.handle, context).add_done_callback(thread_pool_callback)
@time_checker
def handle_text(self, msg):
logger.debug("[WX]receive text msg: " + json.dumps(msg, ensure_ascii=False))
@@ -188,6 +189,33 @@ class WechatChannel(Channel):
thread_pool.submit(self.handle, context).add_done_callback(thread_pool_callback)
def handle_group_voice(self, msg):
if conf().get('group_speech_recognition', False) != True:
return
logger.debug("[WX]receive voice for group msg: " + msg['FileName'])
group_name = msg['User'].get('NickName', None)
group_id = msg['User'].get('UserName', None)
create_time = msg['CreateTime'] # 消息时间
if conf().get('hot_reload') == True and int(create_time) < int(time.time()) - 60: #跳过1分钟前的历史消息
logger.debug("[WX]history group voice skipped")
return
# 验证群名
if not group_name:
return ""
if ('ALL_GROUP' in conf().get('group_name_white_list') or group_name in conf().get('group_name_white_list') or check_contain(group_name, conf().get('group_name_keyword_white_list'))):
context = Context(ContextType.VOICE,msg['FileName'])
context.kwargs = {'isgroup': True, 'msg': msg, 'receiver': group_id}
group_chat_in_one_session = conf().get('group_chat_in_one_session', [])
if ('ALL_GROUP' in group_chat_in_one_session or
group_name in group_chat_in_one_session or
check_contain(group_name, group_chat_in_one_session)):
context['session_id'] = group_id
else:
context['session_id'] = msg['ActualUserName']
thread_pool.submit(self.handle, context).add_done_callback(thread_pool_callback)
# 统一的发送函数每个Channel自行实现根据reply的type字段发送不同类型的消息
def send(self, reply : Reply, receiver):
if reply.type == ReplyType.TEXT:
@@ -225,16 +253,33 @@ class WechatChannel(Channel):
reply = e_context['reply']
if not e_context.is_pass():
logger.debug('[WX] ready to handle context: type={}, content={}'.format(context.type, context.content))
if context.type == ContextType.TEXT or context.type == ContextType.IMAGE_CREATE:
if context.type == ContextType.TEXT or context.type == ContextType.IMAGE_CREATE: # 文字和图片消息
reply = super().build_reply_content(context.content, context)
elif context.type == ContextType.VOICE:
elif context.type == ContextType.VOICE: # 语音消息
msg = context['msg']
file_name = TmpDir().path() + context.content
msg.download(file_name)
reply = super().build_voice_to_text(file_name)
if reply.type != ReplyType.ERROR and reply.type != ReplyType.INFO:
context.content = reply.content # 语音转文字后将文字内容作为新的context
context.type = ContextType.TEXT
if reply.type == ReplyType.TEXT:
content = reply.content # 语音转文字后将文字内容作为新的context
# 如果是群消息,判断是否触发关键字
if context['isgroup']:
match_prefix = check_prefix(content, conf().get('group_chat_prefix'))
match_contain = check_contain(content, conf().get('group_chat_keyword'))
logger.debug('[WX] group chat prefix match: {}'.format(match_prefix))
if match_prefix is None and match_contain is None:
return
else:
if match_prefix:
content = content.replace(match_prefix, '', 1).strip()
img_match_prefix = check_prefix(content, conf().get('image_create_prefix'))
if img_match_prefix:
content = content.replace(img_match_prefix, '', 1).strip()
context.type = ContextType.IMAGE_CREATE
else:
context.type = ContextType.TEXT
context.content = content
reply = super().build_reply_content(context.content, context)
if reply.type == ReplyType.TEXT:
if conf().get('voice_reply_voice'):
@@ -274,14 +319,12 @@ class WechatChannel(Channel):
logger.debug('[WX] ready to send reply: {} to {}'.format(reply, context['receiver']))
self.send(reply, context['receiver'])
def check_prefix(content, prefix_list):
for prefix in prefix_list:
if content.startswith(prefix):
return prefix
return None
def check_contain(content, keyword_list):
if not keyword_list:
return None