mirror of
https://github.com/zhayujie/chatgpt-on-wechat.git
synced 2026-07-21 06:07:13 +08:00
formatting code
This commit is contained in:
@@ -1,9 +1,12 @@
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import shutil
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import wave
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import pysilk
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from pydub import AudioSegment
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sil_supports=[8000, 12000, 16000, 24000, 32000, 44100, 48000] # slk转wav时,支持的采样率
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sil_supports = [8000, 12000, 16000, 24000, 32000, 44100, 48000] # slk转wav时,支持的采样率
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def find_closest_sil_supports(sample_rate):
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"""
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找到最接近的支持的采样率
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@@ -19,6 +22,7 @@ def find_closest_sil_supports(sample_rate):
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mindiff = diff
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return closest
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def get_pcm_from_wav(wav_path):
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"""
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从 wav 文件中读取 pcm
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@@ -29,31 +33,42 @@ def get_pcm_from_wav(wav_path):
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wav = wave.open(wav_path, "rb")
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return wav.readframes(wav.getnframes())
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def any_to_wav(any_path, wav_path):
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"""
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把任意格式转成wav文件
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"""
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if any_path.endswith('.wav'):
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if any_path.endswith(".wav"):
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shutil.copy2(any_path, wav_path)
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return
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if any_path.endswith('.sil') or any_path.endswith('.silk') or any_path.endswith('.slk'):
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if (
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any_path.endswith(".sil")
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or any_path.endswith(".silk")
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or any_path.endswith(".slk")
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):
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return sil_to_wav(any_path, wav_path)
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audio = AudioSegment.from_file(any_path)
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audio.export(wav_path, format="wav")
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def any_to_sil(any_path, sil_path):
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"""
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把任意格式转成sil文件
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"""
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if any_path.endswith('.sil') or any_path.endswith('.silk') or any_path.endswith('.slk'):
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if (
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any_path.endswith(".sil")
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or any_path.endswith(".silk")
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or any_path.endswith(".slk")
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):
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shutil.copy2(any_path, sil_path)
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return 10000
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if any_path.endswith('.wav'):
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if any_path.endswith(".wav"):
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return pcm_to_sil(any_path, sil_path)
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if any_path.endswith('.mp3'):
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if any_path.endswith(".mp3"):
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return mp3_to_sil(any_path, sil_path)
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raise NotImplementedError("Not support file type: {}".format(any_path))
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def mp3_to_wav(mp3_path, wav_path):
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"""
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把mp3格式转成pcm文件
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@@ -61,6 +76,7 @@ def mp3_to_wav(mp3_path, wav_path):
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audio = AudioSegment.from_mp3(mp3_path)
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audio.export(wav_path, format="wav")
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def pcm_to_sil(pcm_path, silk_path):
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"""
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wav 文件转成 silk
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@@ -72,12 +88,12 @@ def pcm_to_sil(pcm_path, silk_path):
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pcm_s16 = audio.set_sample_width(2)
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pcm_s16 = pcm_s16.set_frame_rate(rate)
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wav_data = pcm_s16.raw_data
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silk_data = pysilk.encode(
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wav_data, data_rate=rate, sample_rate=rate)
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silk_data = pysilk.encode(wav_data, data_rate=rate, sample_rate=rate)
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with open(silk_path, "wb") as f:
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f.write(silk_data)
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return audio.duration_seconds * 1000
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def mp3_to_sil(mp3_path, silk_path):
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"""
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mp3 文件转成 silk
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@@ -95,6 +111,7 @@ def mp3_to_sil(mp3_path, silk_path):
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f.write(silk_data)
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return audio.duration_seconds * 1000
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def sil_to_wav(silk_path, wav_path, rate: int = 24000):
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"""
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silk 文件转 wav
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@@ -1,16 +1,18 @@
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"""
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azure voice service
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"""
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import json
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import os
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import time
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import azure.cognitiveservices.speech as speechsdk
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from bridge.reply import Reply, ReplyType
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from common.log import logger
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from common.tmp_dir import TmpDir
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from voice.voice import Voice
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from config import conf
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from voice.voice import Voice
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"""
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Azure voice
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主目录设置文件中需填写azure_voice_api_key和azure_voice_region
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@@ -19,50 +21,68 @@ Azure voice
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"""
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class AzureVoice(Voice):
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class AzureVoice(Voice):
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def __init__(self):
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try:
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curdir = os.path.dirname(__file__)
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config_path = os.path.join(curdir, "config.json")
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config = None
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if not os.path.exists(config_path): #如果没有配置文件,创建本地配置文件
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config = { "speech_synthesis_voice_name": "zh-CN-XiaoxiaoNeural", "speech_recognition_language": "zh-CN"}
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if not os.path.exists(config_path): # 如果没有配置文件,创建本地配置文件
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config = {
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"speech_synthesis_voice_name": "zh-CN-XiaoxiaoNeural",
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"speech_recognition_language": "zh-CN",
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}
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with open(config_path, "w") as fw:
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json.dump(config, fw, indent=4)
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else:
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with open(config_path, "r") as fr:
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config = json.load(fr)
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self.api_key = conf().get('azure_voice_api_key')
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self.api_region = conf().get('azure_voice_region')
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self.speech_config = speechsdk.SpeechConfig(subscription=self.api_key, region=self.api_region)
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self.speech_config.speech_synthesis_voice_name = config["speech_synthesis_voice_name"]
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self.speech_config.speech_recognition_language = config["speech_recognition_language"]
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self.api_key = conf().get("azure_voice_api_key")
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self.api_region = conf().get("azure_voice_region")
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self.speech_config = speechsdk.SpeechConfig(
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subscription=self.api_key, region=self.api_region
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)
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self.speech_config.speech_synthesis_voice_name = config[
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"speech_synthesis_voice_name"
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]
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self.speech_config.speech_recognition_language = config[
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"speech_recognition_language"
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]
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except Exception as e:
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logger.warn("AzureVoice init failed: %s, ignore " % e)
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def voiceToText(self, voice_file):
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audio_config = speechsdk.AudioConfig(filename=voice_file)
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speech_recognizer = speechsdk.SpeechRecognizer(speech_config=self.speech_config, audio_config=audio_config)
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speech_recognizer = speechsdk.SpeechRecognizer(
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speech_config=self.speech_config, audio_config=audio_config
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)
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result = speech_recognizer.recognize_once()
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if result.reason == speechsdk.ResultReason.RecognizedSpeech:
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logger.info('[Azure] voiceToText voice file name={} text={}'.format(voice_file, result.text))
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logger.info(
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"[Azure] voiceToText voice file name={} text={}".format(
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voice_file, result.text
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)
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)
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reply = Reply(ReplyType.TEXT, result.text)
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else:
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logger.error('[Azure] voiceToText error, result={}'.format(result))
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logger.error("[Azure] voiceToText error, result={}".format(result))
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reply = Reply(ReplyType.ERROR, "抱歉,语音识别失败")
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return reply
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def textToVoice(self, text):
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fileName = TmpDir().path() + 'reply-' + str(int(time.time())) + '.wav'
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fileName = TmpDir().path() + "reply-" + str(int(time.time())) + ".wav"
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audio_config = speechsdk.AudioConfig(filename=fileName)
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speech_synthesizer = speechsdk.SpeechSynthesizer(speech_config=self.speech_config, audio_config=audio_config)
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speech_synthesizer = speechsdk.SpeechSynthesizer(
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speech_config=self.speech_config, audio_config=audio_config
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)
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result = speech_synthesizer.speak_text(text)
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if result.reason == speechsdk.ResultReason.SynthesizingAudioCompleted:
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logger.info(
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'[Azure] textToVoice text={} voice file name={}'.format(text, fileName))
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"[Azure] textToVoice text={} voice file name={}".format(text, fileName)
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)
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reply = Reply(ReplyType.VOICE, fileName)
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else:
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logger.error('[Azure] textToVoice error, result={}'.format(result))
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logger.error("[Azure] textToVoice error, result={}".format(result))
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reply = Reply(ReplyType.ERROR, "抱歉,语音合成失败")
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return reply
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@@ -1,4 +1,4 @@
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{
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"speech_synthesis_voice_name": "zh-CN-XiaoxiaoNeural",
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"speech_recognition_language": "zh-CN"
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}
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"speech_synthesis_voice_name": "zh-CN-XiaoxiaoNeural",
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"speech_recognition_language": "zh-CN"
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}
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@@ -29,7 +29,7 @@ dev_pid 必填 语言选择,填写语言对应的dev_pid值
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2、对于def textToVoice(self, text)函数中调用的百度语音合成API,中接口调用synthesis(参数)在本目录下的`config.json`文件中进行配置。
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参数 可需 描述
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tex 必填 合成的文本,使用UTF-8编码,请注意文本长度必须小于1024字节
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tex 必填 合成的文本,使用UTF-8编码,请注意文本长度必须小于1024字节
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lan 必填 固定值zh。语言选择,目前只有中英文混合模式,填写固定值zh
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spd 选填 语速,取值0-15,默认为5中语速
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pit 选填 音调,取值0-15,默认为5中语调
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@@ -40,14 +40,14 @@ aue 选填 3为mp3格式(默认); 4为pcm-16k;5为pcm-8k;6为wav
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关于per参数的说明,注意您购买的哪个音库,就填写哪个音库的参数,否则会报错。如果您购买的是基础音库,那么per参数只能填写0到4,如果您购买的是精品音库,那么per参数只能填写5003,5118,106,110,111,103,5其他的都会报错。
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### 配置文件
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将文件夹中`config.json.template`复制为`config.json`。
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``` json
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{
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"lang": "zh",
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"lang": "zh",
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"ctp": 1,
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"spd": 5,
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"spd": 5,
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"pit": 5,
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"vol": 5,
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"per": 0
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@@ -1,17 +1,19 @@
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"""
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baidu voice service
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"""
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import json
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import os
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import time
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from aip import AipSpeech
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from bridge.reply import Reply, ReplyType
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from common.log import logger
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from common.tmp_dir import TmpDir
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from voice.voice import Voice
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from voice.audio_convert import get_pcm_from_wav
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from config import conf
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from voice.audio_convert import get_pcm_from_wav
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from voice.voice import Voice
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"""
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百度的语音识别API.
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dev_pid:
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@@ -28,40 +30,37 @@ from config import conf
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class BaiduVoice(Voice):
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def __init__(self):
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try:
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curdir = os.path.dirname(__file__)
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config_path = os.path.join(curdir, "config.json")
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bconf = None
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if not os.path.exists(config_path): #如果没有配置文件,创建本地配置文件
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bconf = { "lang": "zh", "ctp": 1, "spd": 5,
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"pit": 5, "vol": 5, "per": 0}
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if not os.path.exists(config_path): # 如果没有配置文件,创建本地配置文件
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bconf = {"lang": "zh", "ctp": 1, "spd": 5, "pit": 5, "vol": 5, "per": 0}
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with open(config_path, "w") as fw:
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json.dump(bconf, fw, indent=4)
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else:
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with open(config_path, "r") as fr:
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bconf = json.load(fr)
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self.app_id = conf().get('baidu_app_id')
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self.api_key = conf().get('baidu_api_key')
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self.secret_key = conf().get('baidu_secret_key')
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self.dev_id = conf().get('baidu_dev_pid')
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self.app_id = conf().get("baidu_app_id")
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self.api_key = conf().get("baidu_api_key")
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self.secret_key = conf().get("baidu_secret_key")
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self.dev_id = conf().get("baidu_dev_pid")
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self.lang = bconf["lang"]
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self.ctp = bconf["ctp"]
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self.spd = bconf["spd"]
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self.pit = bconf["pit"]
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self.vol = bconf["vol"]
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self.per = bconf["per"]
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self.client = AipSpeech(self.app_id, self.api_key, self.secret_key)
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except Exception as e:
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logger.warn("BaiduVoice init failed: %s, ignore " % e)
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def voiceToText(self, voice_file):
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# 识别本地文件
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logger.debug('[Baidu] voice file name={}'.format(voice_file))
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logger.debug("[Baidu] voice file name={}".format(voice_file))
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pcm = get_pcm_from_wav(voice_file)
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res = self.client.asr(pcm, "pcm", 16000, {"dev_pid": self.dev_id})
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if res["err_no"] == 0:
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@@ -72,21 +71,25 @@ class BaiduVoice(Voice):
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logger.info("百度语音识别出错了: {}".format(res["err_msg"]))
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if res["err_msg"] == "request pv too much":
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logger.info(" 出现这个原因很可能是你的百度语音服务调用量超出限制,或未开通付费")
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reply = Reply(ReplyType.ERROR,
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"百度语音识别出错了;{0}".format(res["err_msg"]))
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reply = Reply(ReplyType.ERROR, "百度语音识别出错了;{0}".format(res["err_msg"]))
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return reply
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def textToVoice(self, text):
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result = self.client.synthesis(text, self.lang, self.ctp, {
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'spd': self.spd, 'pit': self.pit, 'vol': self.vol, 'per': self.per})
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result = self.client.synthesis(
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text,
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self.lang,
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self.ctp,
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{"spd": self.spd, "pit": self.pit, "vol": self.vol, "per": self.per},
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)
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if not isinstance(result, dict):
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fileName = TmpDir().path() + 'reply-' + str(int(time.time())) + '.mp3'
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with open(fileName, 'wb') as f:
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fileName = TmpDir().path() + "reply-" + str(int(time.time())) + ".mp3"
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with open(fileName, "wb") as f:
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f.write(result)
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logger.info(
|
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'[Baidu] textToVoice text={} voice file name={}'.format(text, fileName))
|
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"[Baidu] textToVoice text={} voice file name={}".format(text, fileName)
|
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)
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reply = Reply(ReplyType.VOICE, fileName)
|
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else:
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logger.error('[Baidu] textToVoice error={}'.format(result))
|
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logger.error("[Baidu] textToVoice error={}".format(result))
|
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reply = Reply(ReplyType.ERROR, "抱歉,语音合成失败")
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return reply
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|
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@@ -1,8 +1,8 @@
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{
|
||||
"lang": "zh",
|
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"ctp": 1,
|
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"spd": 5,
|
||||
"pit": 5,
|
||||
"vol": 5,
|
||||
"per": 0
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||||
}
|
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{
|
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"lang": "zh",
|
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"ctp": 1,
|
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"spd": 5,
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"pit": 5,
|
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"vol": 5,
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"per": 0
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}
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@@ -1,11 +1,12 @@
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"""
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google voice service
|
||||
"""
|
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|
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import time
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|
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import speech_recognition
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from gtts import gTTS
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|
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from bridge.reply import Reply, ReplyType
|
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from common.log import logger
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from common.tmp_dir import TmpDir
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@@ -22,9 +23,12 @@ class GoogleVoice(Voice):
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with speech_recognition.AudioFile(voice_file) as source:
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audio = self.recognizer.record(source)
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try:
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text = self.recognizer.recognize_google(audio, language='zh-CN')
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||||
text = self.recognizer.recognize_google(audio, language="zh-CN")
|
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logger.info(
|
||||
'[Google] voiceToText text={} voice file name={}'.format(text, voice_file))
|
||||
"[Google] voiceToText text={} voice file name={}".format(
|
||||
text, voice_file
|
||||
)
|
||||
)
|
||||
reply = Reply(ReplyType.TEXT, text)
|
||||
except speech_recognition.UnknownValueError:
|
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reply = Reply(ReplyType.ERROR, "抱歉,我听不懂")
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@@ -32,13 +36,15 @@ class GoogleVoice(Voice):
|
||||
reply = Reply(ReplyType.ERROR, "抱歉,无法连接到 Google 语音识别服务;{0}".format(e))
|
||||
finally:
|
||||
return reply
|
||||
|
||||
def textToVoice(self, text):
|
||||
try:
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||||
mp3File = TmpDir().path() + 'reply-' + str(int(time.time())) + '.mp3'
|
||||
tts = gTTS(text=text, lang='zh')
|
||||
tts.save(mp3File)
|
||||
mp3File = TmpDir().path() + "reply-" + str(int(time.time())) + ".mp3"
|
||||
tts = gTTS(text=text, lang="zh")
|
||||
tts.save(mp3File)
|
||||
logger.info(
|
||||
'[Google] textToVoice text={} voice file name={}'.format(text, mp3File))
|
||||
"[Google] textToVoice text={} voice file name={}".format(text, mp3File)
|
||||
)
|
||||
reply = Reply(ReplyType.VOICE, mp3File)
|
||||
except Exception as e:
|
||||
reply = Reply(ReplyType.ERROR, str(e))
|
||||
|
||||
@@ -1,29 +1,32 @@
|
||||
|
||||
"""
|
||||
google voice service
|
||||
"""
|
||||
import json
|
||||
|
||||
import openai
|
||||
|
||||
from bridge.reply import Reply, ReplyType
|
||||
from config import conf
|
||||
from common.log import logger
|
||||
from config import conf
|
||||
from voice.voice import Voice
|
||||
|
||||
|
||||
class OpenaiVoice(Voice):
|
||||
def __init__(self):
|
||||
openai.api_key = conf().get('open_ai_api_key')
|
||||
openai.api_key = conf().get("open_ai_api_key")
|
||||
|
||||
def voiceToText(self, voice_file):
|
||||
logger.debug(
|
||||
'[Openai] voice file name={}'.format(voice_file))
|
||||
logger.debug("[Openai] voice file name={}".format(voice_file))
|
||||
try:
|
||||
file = open(voice_file, "rb")
|
||||
result = openai.Audio.transcribe("whisper-1", file)
|
||||
text = result["text"]
|
||||
reply = Reply(ReplyType.TEXT, text)
|
||||
logger.info(
|
||||
'[Openai] voiceToText text={} voice file name={}'.format(text, voice_file))
|
||||
"[Openai] voiceToText text={} voice file name={}".format(
|
||||
text, voice_file
|
||||
)
|
||||
)
|
||||
except Exception as e:
|
||||
reply = Reply(ReplyType.ERROR, str(e))
|
||||
finally:
|
||||
|
||||
@@ -1,10 +1,11 @@
|
||||
|
||||
"""
|
||||
pytts voice service (offline)
|
||||
"""
|
||||
|
||||
import time
|
||||
|
||||
import pyttsx3
|
||||
|
||||
from bridge.reply import Reply, ReplyType
|
||||
from common.log import logger
|
||||
from common.tmp_dir import TmpDir
|
||||
@@ -16,20 +17,21 @@ class PyttsVoice(Voice):
|
||||
|
||||
def __init__(self):
|
||||
# 语速
|
||||
self.engine.setProperty('rate', 125)
|
||||
self.engine.setProperty("rate", 125)
|
||||
# 音量
|
||||
self.engine.setProperty('volume', 1.0)
|
||||
for voice in self.engine.getProperty('voices'):
|
||||
self.engine.setProperty("volume", 1.0)
|
||||
for voice in self.engine.getProperty("voices"):
|
||||
if "Chinese" in voice.name:
|
||||
self.engine.setProperty('voice', voice.id)
|
||||
self.engine.setProperty("voice", voice.id)
|
||||
|
||||
def textToVoice(self, text):
|
||||
try:
|
||||
wavFile = TmpDir().path() + 'reply-' + str(int(time.time())) + '.wav'
|
||||
wavFile = TmpDir().path() + "reply-" + str(int(time.time())) + ".wav"
|
||||
self.engine.save_to_file(text, wavFile)
|
||||
self.engine.runAndWait()
|
||||
logger.info(
|
||||
'[Pytts] textToVoice text={} voice file name={}'.format(text, wavFile))
|
||||
"[Pytts] textToVoice text={} voice file name={}".format(text, wavFile)
|
||||
)
|
||||
reply = Reply(ReplyType.VOICE, wavFile)
|
||||
except Exception as e:
|
||||
reply = Reply(ReplyType.ERROR, str(e))
|
||||
|
||||
@@ -2,6 +2,7 @@
|
||||
Voice service abstract class
|
||||
"""
|
||||
|
||||
|
||||
class Voice(object):
|
||||
def voiceToText(self, voice_file):
|
||||
"""
|
||||
@@ -13,4 +14,4 @@ class Voice(object):
|
||||
"""
|
||||
Send text to voice service and get voice
|
||||
"""
|
||||
raise NotImplementedError
|
||||
raise NotImplementedError
|
||||
|
||||
@@ -2,25 +2,31 @@
|
||||
voice factory
|
||||
"""
|
||||
|
||||
|
||||
def create_voice(voice_type):
|
||||
"""
|
||||
create a voice instance
|
||||
:param voice_type: voice type code
|
||||
:return: voice instance
|
||||
"""
|
||||
if voice_type == 'baidu':
|
||||
if voice_type == "baidu":
|
||||
from voice.baidu.baidu_voice import BaiduVoice
|
||||
|
||||
return BaiduVoice()
|
||||
elif voice_type == 'google':
|
||||
elif voice_type == "google":
|
||||
from voice.google.google_voice import GoogleVoice
|
||||
|
||||
return GoogleVoice()
|
||||
elif voice_type == 'openai':
|
||||
elif voice_type == "openai":
|
||||
from voice.openai.openai_voice import OpenaiVoice
|
||||
|
||||
return OpenaiVoice()
|
||||
elif voice_type == 'pytts':
|
||||
elif voice_type == "pytts":
|
||||
from voice.pytts.pytts_voice import PyttsVoice
|
||||
|
||||
return PyttsVoice()
|
||||
elif voice_type == 'azure':
|
||||
elif voice_type == "azure":
|
||||
from voice.azure.azure_voice import AzureVoice
|
||||
|
||||
return AzureVoice()
|
||||
raise RuntimeError
|
||||
|
||||
Reference in New Issue
Block a user