mirror of
https://github.com/zhayujie/chatgpt-on-wechat.git
synced 2026-03-18 12:40:06 +08:00
compatible for voice
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@@ -30,7 +30,8 @@ class BaiduVoice(Voice):
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with open(fileName, 'wb') as f:
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f.write(result)
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logger.info('[Baidu] textToVoice text={} voice file name={}'.format(text, fileName))
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return fileName
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reply = {"type": "VOICE", "content": fileName}
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else:
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logger.error('[Baidu] textToVoice error={}'.format(result))
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return None
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reply = {"type": "ERROR", "content": "抱歉,语音合成失败"}
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return reply
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@@ -32,20 +32,27 @@ class GoogleVoice(Voice):
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' -acodec pcm_s16le -ac 1 -ar 16000 ' + new_file, shell=True)
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with speech_recognition.AudioFile(new_file) as source:
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audio = self.recognizer.record(source)
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reply = {}
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try:
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text = self.recognizer.recognize_google(audio, language='zh-CN')
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logger.info(
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'[Google] voiceToText text={} voice file name={}'.format(text, voice_file))
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return text
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reply = {"type": "TEXT", "content": text}
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except speech_recognition.UnknownValueError:
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return "抱歉,我听不懂。"
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reply = {"type": "ERROR", "content": "抱歉,我听不懂"}
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except speech_recognition.RequestError as e:
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return "抱歉,无法连接到 Google 语音识别服务;{0}".format(e)
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reply = {"type": "ERROR", "content": "抱歉,无法连接到 Google 语音识别服务;{0}".format(e)}
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finally:
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return reply
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def textToVoice(self, text):
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textFile = TmpDir().path() + '语音回复_' + str(int(time.time())) + '.mp3'
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self.engine.save_to_file(text, textFile)
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self.engine.runAndWait()
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logger.info(
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'[Google] textToVoice text={} voice file name={}'.format(text, textFile))
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return textFile
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try:
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textFile = TmpDir().path() + '语音回复_' + str(int(time.time())) + '.mp3'
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self.engine.save_to_file(text, textFile)
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self.engine.runAndWait()
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logger.info(
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'[Google] textToVoice text={} voice file name={}'.format(text, textFile))
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reply = {"type": "VOICE", "content": textFile}
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except Exception as e:
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reply = {"type": "ERROR", "content": str(e)}
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finally:
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return reply
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@@ -16,12 +16,18 @@ class OpenaiVoice(Voice):
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def voiceToText(self, voice_file):
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logger.debug(
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'[Openai] voice file name={}'.format(voice_file))
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file = open(voice_file, "rb")
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reply = openai.Audio.transcribe("whisper-1", file)
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text = reply["text"]
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logger.info(
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'[Openai] voiceToText text={} voice file name={}'.format(text, voice_file))
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return text
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reply={}
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try:
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file = open(voice_file, "rb")
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result = openai.Audio.transcribe("whisper-1", file)
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text = result["text"]
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reply = {"type": "TEXT", "content": text}
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logger.info(
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'[Openai] voiceToText text={} voice file name={}'.format(text, voice_file))
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except Exception as e:
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reply = {"type": "ERROR", "content": str(e)}
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finally:
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return reply
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def textToVoice(self, text):
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pass
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