Google voice Support

.gitignore

@@ -6,3 +6,4 @@ venv*
 config.json
 QR.png
 nohup.out
+tmp

README.md

@@ -71,6 +71,12 @@ cd chatgpt-on-wechat/
 ```bash
 pip3 install itchat-uos==1.5.0.dev0
 pip3 install --upgrade openai
+
+如果使用google的语音识别，需要安装speech_recognition和依赖的ffmpeg和espeak
+pip3 install SpeechRecognition
+--在MacOS中安装ffmpeg，brew install ffmpeg espeak
+--在Windows中安装ffmpeg，下载ffmpeg.exe
+--在Linux中安装ffmpeg，apt-get install ffmpeg espeak
 ```
 注：`itchat-uos`使用指定版本1.5.0.dev0，`openai`使用最新版本，需高于0.27.0。
 
@@ -112,7 +118,10 @@ cp config-template.json config.json
 + 默认只要被人 @ 就会触发机器人自动回复；另外群聊天中只要检测到以 "@bot" 开头的内容，同样会自动回复（方便自己触发），这对应配置项 `group_chat_prefix`
 + 可选配置: `group_name_keyword_white_list`配置项支持模糊匹配群名称，`group_chat_keyword`配置项则支持模糊匹配群消息内容，用法与上述两个配置项相同。（Contributed by [evolay](https://github.com/evolay))
 
-**3.其他配置**
+**3.语音识别**
++ 配置`speech_recognition=true`开启语音识别
+
+**4.其他配置**
 
 + `proxy`：由于目前 `openai` 接口国内无法访问，需配置代理客户端的地址，详情参考  [#351](https://github.com/zhayujie/chatgpt-on-wechat/issues/351)
 + 对于图像生成，在满足个人或群组触发条件外，还需要额外的关键词前缀来触发，对应配置 `image_create_prefix `

bridge/bridge.py

@@ -1,4 +1,5 @@
 from bot import bot_factory
+from voice import voice_factory
 
 
 class Bridge(object):
@@ -7,3 +8,9 @@ def __init__(self):
 
     def fetch_reply_content(self, query, context):
         return bot_factory.create_bot("chatGPT").reply(query, context)
+
+    def fetch_voice_to_text(self, voiceFile):
+        return voice_factory.create_voice("google").voiceToText(voiceFile)
+
+    def fetch_text_to_voice(self, text):
+        return voice_factory.create_voice("google").textToVoice(text)

channel/channel.py

@@ -11,7 +11,7 @@ def startup(self):
         """
         raise NotImplementedError
 
-    def handle(self, msg):
+    def handle_text(self, msg):
         """
         process received msg
         :param msg: message object
@@ -29,3 +29,9 @@ def send(self, msg, receiver):
 
     def build_reply_content(self, query, context=None):
         return Bridge().fetch_reply_content(query, context)
+
+    def build_voice_to_text(self, voice_file):
+        return Bridge().fetch_voice_to_text(voice_file)
+
+    def build_text_to_voice(self, text):
+        return Bridge().fetch_text_to_voice(text)

channel/wechat/wechat_channel.py

@@ -3,6 +3,8 @@
 """
 wechat channel
 """
+
+import os
 import itchat
 import json
 from itchat.content import *
@@ -18,7 +20,7 @@
 
 @itchat.msg_register(TEXT)
 def handler_single_msg(msg):
-    WechatChannel().handle(msg)
+    WechatChannel().handle_text(msg)
     return None
 
 
@@ -28,9 +30,19 @@ def handler_group_msg(msg):
     return None
 
 
+@itchat.msg_register(VOICE)
+def handler_single_voice(msg):
+    WechatChannel().handle_voice(msg)
+    return None
+
+
 class WechatChannel(Channel):
+    tmpFilePath = './tmp/'
+
     def __init__(self):
-        pass
+        isExists = os.path.exists(self.tmpFilePath)
+        if not isExists: 
+            os.makedirs(self.tmpFilePath)
 
     def startup(self):
         # login by scan QRCode
@@ -39,12 +51,27 @@ def startup(self):
         # start message listener
         itchat.run()
 
-    def handle(self, msg):
-        logger.debug("[WX]receive msg: " + json.dumps(msg, ensure_ascii=False))
+    def handle_voice(self, msg):
+        if conf().get('speech_recognition') != True :
+            return
+        logger.debug("[WX]receive voice msg: ", msg['FileName'])
+        thread_pool.submit(self._do_handle_voice, msg)
+
+    def _do_handle_voice(self, msg):
+        fileName = self.tmpFilePath+msg['FileName']
+        msg.download(fileName)
+        content = super().build_voice_to_text(fileName)
+        self._handle_single_msg(msg, content, True)
+
+    def handle_text(self, msg):
+        logger.debug("[WX]receive text msg: " + json.dumps(msg, ensure_ascii=False))
+        content = msg['Text']
+        self._handle_single_msg(msg, content, False)
+
+    def _handle_single_msg(self, msg, content, is_voice):
         from_user_id = msg['FromUserName']
         to_user_id = msg['ToUserName']              # 接收人id
         other_user_id = msg['User']['UserName']     # 对手方id
-        content = msg['Text']
         match_prefix = self.check_prefix(content, conf().get('single_chat_prefix'))
         if "」\n- - - - - - - - - - - - - - -" in content:
             logger.debug("[WX]reference query skipped")
@@ -60,9 +87,10 @@ def handle(self, msg):
             if img_match_prefix:
                 content = content.split(img_match_prefix, 1)[1].strip()
                 thread_pool.submit(self._do_send_img, content, from_user_id)
-            else:
-                thread_pool.submit(self._do_send, content, from_user_id)
-
+            elif is_voice:
+                thread_pool.submit(self._do_send_voice, content, from_user_id)
+            else :
+                thread_pool.submit(self._do_send_text, content, from_user_id)
         elif to_user_id == other_user_id and match_prefix:
             # 自己给好友发送消息
             str_list = content.split(match_prefix, 1)
@@ -72,8 +100,10 @@ def handle(self, msg):
             if img_match_prefix:
                 content = content.split(img_match_prefix, 1)[1].strip()
                 thread_pool.submit(self._do_send_img, content, to_user_id)
+            elif is_voice:
+                thread_pool.submit(self._do_send_voice, content, to_user_id)
             else:
-                thread_pool.submit(self._do_send, content, to_user_id)
+                thread_pool.submit(self._do_send_text, content, to_user_id)
 
 
     def handle_group(self, msg):
@@ -105,10 +135,24 @@ def handle_group(self, msg):
                 thread_pool.submit(self._do_send_group, content, msg)
 
     def send(self, msg, receiver):
-        logger.info('[WX] sendMsg={}, receiver={}'.format(msg, receiver))
         itchat.send(msg, toUserName=receiver)
+        logger.info('[WX] sendMsg={}, receiver={}'.format(msg, receiver))
 
-    def _do_send(self, query, reply_user_id):
+    def _do_send_voice(self, query, reply_user_id):
+        try:
+            if not query:
+                return
+            context = dict()
+            context['from_user_id'] = reply_user_id
+            reply_text = super().build_reply_content(query, context)
+            if reply_text:
+                replyFile = super().build_text_to_voice(reply_text)
+                itchat.send_file(replyFile, toUserName=reply_user_id)
+                logger.info('[WX] sendFile={}, receiver={}'.format(replyFile, reply_user_id))
+        except Exception as e:
+            logger.exception(e)
+
+    def _do_send_text(self, query, reply_user_id):
         try:
             if not query:
                 return
@@ -138,8 +182,8 @@ def _do_send_img(self, query, reply_user_id):
             image_storage.seek(0)
 
             # 图片发送
-            logger.info('[WX] sendImage, receiver={}'.format(reply_user_id))
             itchat.send_image(image_storage, reply_user_id)
+            logger.info('[WX] sendImage, receiver={}'.format(reply_user_id))
         except Exception as e:
             logger.exception(e)
 

config-template.json

@@ -7,6 +7,7 @@
   "group_name_white_list": ["ChatGPT测试群", "ChatGPT测试群2"],
   "image_create_prefix": ["画", "看", "找"],
   "conversation_max_tokens": 1000,
+  "speech_recognition": false,
   "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。",
   "expires_in_seconds": 3600
 }

voice/google/google_voice.py

@@ -0,0 +1,50 @@
+
+"""
+google voice service
+"""
+
+import subprocess
+import time
+import speech_recognition
+import pyttsx3
+from common.log import logger
+from voice.voice import Voice
+
+
+class GoogleVoice(Voice):
+    tmpFilePath = './tmp/'
+    recognizer = speech_recognition.Recognizer()
+    engine = pyttsx3.init()
+
+    def __init__(self):
+        # 语速
+        self.engine.setProperty('rate', 125)
+        # 音量
+        self.engine.setProperty('volume', 1.0)
+        # 0为男声，1为女声
+        voices = self.engine.getProperty('voices')
+        self.engine.setProperty('voice', voices[1].id)
+
+    def voiceToText(self, voice_file):
+        new_file = voice_file.replace('.mp3', '.wav')
+        subprocess.call('ffmpeg -i ' + voice_file +
+                        ' -acodec pcm_s16le -ac 1 -ar 16000 ' + new_file, shell=True)
+        with speech_recognition.AudioFile(new_file) as source:
+            audio = self.recognizer.record(source)
+        try:
+            text = self.recognizer.recognize_google(audio, language='zh-CN')
+            logger.info(
+                '[Google] voiceToText text={} voice file name={}'.format(text, voice_file))
+            return text
+        except speech_recognition.UnknownValueError:
+            return "抱歉，我听不懂。"
+        except speech_recognition.RequestError as e:
+            return "抱歉，无法连接到 Google 语音识别服务；{0}".format(e)
+
+    def textToVoice(self, text):
+        textFile = self.tmpFilePath + '语音回复_' + str(int(time.time())) + '.mp3'
+        self.engine.save_to_file(text, textFile)
+        self.engine.runAndWait()
+        logger.info(
+            '[Google] textToVoice text={} voice file name={}'.format(text, textFile))
+        return textFile

voice/voice.py

@@ -0,0 +1,16 @@
+"""
+Voice service abstract class
+"""
+
+class Voice(object):
+    def voiceToText(self, voice_file):
+        """
+        Send voice to voice service and get text
+        """
+        raise NotImplementedError
+
+    def textToVoice(self, text):
+        """
+        Send text to voice service and get voice
+        """
+        raise NotImplementedError

voice/voice_factory.py

@@ -0,0 +1,17 @@
+"""
+voice factory
+"""
+
+def create_voice(voice_type):
+    """
+    create a voice instance
+    :param voice_type: voice type code
+    :return: voice instance
+    """
+    if voice_type == 'xfyun':
+        from voice.xfyun.xfyun_voice import XfyunVoice
+        return XfyunVoice()
+    elif voice_type == 'google':
+        from voice.google.google_voice import GoogleVoice
+        return GoogleVoice()
+    raise RuntimeError

voice/xfyun/xfyun_voice.py

@@ -0,0 +1,35 @@
+
+"""
+科大讯飞 voice service
+"""
+
+from voice.voice import Voice
+
+# 科大讯飞语音识别
+lfasr_host = 'http://raasr.xfyun.cn/api'
+# 请求的接口名
+api_prepare = '/prepare'
+api_upload = '/upload'
+api_merge = '/merge'
+api_get_progress = '/getProgress'
+api_get_result = '/getResult'
+# 文件分片大小10M
+file_piece_sice = 10485760
+# ——————————————————转写可配置参数————————————————
+# 参数可在官网界面（https://doc.xfyun.cn/rest_api/%E8%AF%AD%E9%9F%B3%E8%BD%AC%E5%86%99.html）查看，根据需求可自行在gene_params方法里添加修改
+# 转写类型
+lfasr_type = 0
+# 是否开启分词
+has_participle = 'false'
+has_seperate = 'true'
+# 多候选词个数
+max_alternatives = 0
+# 子用户标识
+suid = ''
+
+class XfyunVoice(Voice):
+    def __init__(self):
+        pass
+
+    def voiceToText(self, voice_file):
+        pass