[voice] using baidu service to gen reply voice

README.md

@@ -72,9 +72,8 @@ cd chatgpt-on-wechat/
 pip3 install itchat-uos==1.5.0.dev0
 pip3 install --upgrade openai
 
-默认使用openai的whisper-1模型
 如果使用百度的语音识别，需要安装百度的pythonSDK
-pip3 install baidu-aip
+pip3 install baidu-aip chardet
 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
@@ -122,7 +121,8 @@ cp config-template.json config.json
 + 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.语音识别**
-+ 配置`speech_recognition=true`开启语音识别
++ 配置`speech_recognition=true`开启语音识别，默认使用openai的whisper模型
++ 配置`voice_reply_voice=true`语音回复语音，但是需要配置对应语音合成平台的key
 
 **4.其他配置**
 

channel/wechat/wechat_channel.py

@@ -4,14 +4,13 @@
 wechat channel
 """
 
-import os
-import pathlib
 import itchat
 import json
 from itchat.content import *
 from channel.channel import Channel
 from concurrent.futures import ThreadPoolExecutor
 from common.log import logger
+from common.tmp_dir import TmpDir
 from config import conf
 import requests
 import io
@@ -38,12 +37,8 @@ def handler_single_voice(msg):
 
 
 class WechatChannel(Channel):
-    tmpFilePath = pathlib.Path('./tmp/')
-
     def __init__(self):
-        pathExists = os.path.exists(self.tmpFilePath)
+        pass
-        if not pathExists and conf().get('speech_recognition') == True: 
-            os.makedirs(self.tmpFilePath)
 
     def startup(self):
         # login by scan QRCode
@@ -59,17 +54,17 @@ class WechatChannel(Channel):
         thread_pool.submit(self._do_handle_voice, msg)
 
     def _do_handle_voice(self, msg):
-        fileName = self.tmpFilePath+msg['FileName']
+        fileName = TmpDir().path() + msg['FileName']
         msg.download(fileName)
         content = super().build_voice_to_text(fileName)
-        self._handle_single_msg(msg, content, False)
+        self._handle_single_msg(msg, content, conf().get('voice_reply_voice'))
 
     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):
+    def _handle_single_msg(self, msg, content, reply_voice=False):
         from_user_id = msg['FromUserName']
         to_user_id = msg['ToUserName']              # 接收人id
         other_user_id = msg['User']['UserName']     # 对手方id
@@ -88,7 +83,7 @@ class WechatChannel(Channel):
             if img_match_prefix:
                 content = content.split(img_match_prefix, 1)[1].strip()
                 thread_pool.submit(self._do_send_img, content, from_user_id)
-            elif is_voice:
+            elif reply_voice:
                 thread_pool.submit(self._do_send_voice, content, from_user_id)
             else :
                 thread_pool.submit(self._do_send_text, content, from_user_id)
@@ -101,7 +96,7 @@ class WechatChannel(Channel):
             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:
+            elif reply_voice:
                 thread_pool.submit(self._do_send_voice, content, to_user_id)
             else:
                 thread_pool.submit(self._do_send_text, content, to_user_id)

common/tmp_dir.py

@@ -0,0 +1,20 @@
+
+import os
+import pathlib
+from config import conf
+
+
+class TmpDir(object):
+    """A temporary directory that is deleted when the object is destroyed.
+    """
+
+    tmpFilePath = pathlib.Path('./tmp/')
+    
+    def __init__(self):
+        pathExists = os.path.exists(self.tmpFilePath)
+        if not pathExists and conf().get('speech_recognition') == True:
+            os.makedirs(self.tmpFilePath)
+
+    def path(self):
+        return str(self.tmpFilePath) + '/'
+    

config-template.json

@@ -8,6 +8,7 @@
   "image_create_prefix": ["画", "看", "找"],
   "conversation_max_tokens": 1000,
   "speech_recognition": false,
+  "voice_reply_voice": false,
   "baidu_app_id": "YOUR BAIDU APP ID",
   "baidu_api_key": "YOUR BAIDU API KEY",
   "baidu_secret_key": "YOUR BAIDU SERVICE KEY",

voice/baidu/baidu_voice.py

@@ -2,7 +2,10 @@
 """
 baidu voice service
 """
+import time
 from aip import AipSpeech
+from common.log import logger
+from common.tmp_dir import TmpDir
 from voice.voice import Voice
 from config import conf
 
@@ -19,4 +22,15 @@ class BaiduVoice(Voice):
         pass
 
     def textToVoice(self, text):
-        pass
+        result = self.client.synthesis(text, 'zh', 1, {
+            'spd': 5, 'pit': 5, 'vol': 5, 'per': 111
+        })
+        if not isinstance(result, dict):
+            fileName = TmpDir().path() + '语音回复_' + str(int(time.time())) + '.mp3'
+            with open(fileName, 'wb') as f:
+                f.write(result)
+            logger.info('[Baidu] textToVoice text={} voice file name={}'.format(text, fileName))
+            return fileName
+        else:
+            logger.error('[Baidu] textToVoice error={}'.format(result))
+            return None

voice/google/google_voice.py

@@ -9,6 +9,7 @@ import time
 import speech_recognition
 import pyttsx3
 from common.log import logger
+from common.tmp_dir import TmpDir
 from voice.voice import Voice
 
 
@@ -42,7 +43,7 @@ class GoogleVoice(Voice):
             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'
+        textFile = TmpDir().path() + '语音回复_' + str(int(time.time())) + '.mp3'
         self.engine.save_to_file(text, textFile)
         self.engine.runAndWait()
         logger.info(