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https://github.com/zhayujie/chatgpt-on-wechat.git
synced 2026-03-18 04:25:14 +08:00
feat: add dalle3 gpt-4-turbo model change
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@@ -33,4 +33,8 @@ def create_voice(voice_type):
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from voice.elevent.elevent_voice import ElevenLabsVoice
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return ElevenLabsVoice()
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elif voice_type == "linkai":
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from voice.linkai.linkai_voice import LinkAIVoice
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return LinkAIVoice()
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raise RuntimeError
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78
voice/linkai/linkai_voice.py
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78
voice/linkai/linkai_voice.py
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@@ -0,0 +1,78 @@
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"""
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google voice service
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"""
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import json
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import os
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import random
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import openai
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import requests
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from bridge.reply import Reply, ReplyType
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from common.log import logger
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from config import conf
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from voice.voice import Voice
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from common import const
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import datetime
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class LinkAIVoice(Voice):
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def __init__(self):
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pass
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def voiceToText(self, voice_file):
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logger.debug("[LinkVoice] voice file name={}".format(voice_file))
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try:
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url = conf().get("linkai_api_base", "https://api.link-ai.chat") + "/v1/audio/transcriptions"
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headers = {"Authorization": "Bearer " + conf().get("linkai_api_key")}
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model = None
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if not conf().get("text_to_voice") or conf().get("voice_to_text") == "openai":
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model = const.WHISPER_1
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file = open(voice_file, "rb")
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file_body = {
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"file": file
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}
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data = {
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"model": model
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}
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res = requests.post(url, files=file_body, headers=headers, data=data, timeout=(5, 60))
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if res.status_code == 200:
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text = res.json().get("text")
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else:
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res_json = res.json()
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logger.error(f"[LinkVoice] voiceToText error, status_code={res.status_code}, msg={res_json.get('message')}")
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return None
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reply = Reply(ReplyType.TEXT, text)
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logger.info(f"[LinkVoice] voiceToText success, text={text}, file name={voice_file}")
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except Exception as e:
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logger.error(e)
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reply = Reply(ReplyType.ERROR, "我暂时还无法听清您的语音,请稍后再试吧~")
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return reply
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def textToVoice(self, text):
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try:
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url = conf().get("linkai_api_base", "https://api.link-ai.chat") + "/v1/audio/speech"
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headers = {"Authorization": "Bearer " + conf().get("linkai_api_key")}
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model = const.TTS_1
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if not conf().get("text_to_voice") or conf().get("text_to_voice") in [const.TTS_1, const.TTS_1_HD]:
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model = conf().get("text_to_voice") or const.TTS_1
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data = {
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"model": model,
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"input": text,
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"voice": conf().get("tts_voice_id")
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}
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res = requests.post(url, headers=headers, json=data, timeout=(5, 120))
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if res.status_code == 200:
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tmp_file_name = "tmp/" + datetime.datetime.now().strftime('%Y%m%d%H%M%S') + str(random.randint(0, 1000)) + ".mp3"
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with open(tmp_file_name, 'wb') as f:
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f.write(res.content)
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reply = Reply(ReplyType.VOICE, tmp_file_name)
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logger.info(f"[LinkVoice] textToVoice success, input={text}, model={model}, voice_id={data.get('voice')}")
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return reply
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else:
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res_json = res.json()
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logger.error(f"[LinkVoice] textToVoice error, status_code={res.status_code}, msg={res_json.get('message')}")
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return None
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except Exception as e:
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logger.error(e)
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reply = Reply(ReplyType.ERROR, "遇到了一点小问题,请稍后再问我吧")
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return reply
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@@ -24,6 +24,6 @@ class OpenaiVoice(Voice):
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reply = Reply(ReplyType.TEXT, text)
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logger.info("[Openai] voiceToText text={} voice file name={}".format(text, voice_file))
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except Exception as e:
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reply = Reply(ReplyType.ERROR, str(e))
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reply = Reply(ReplyType.ERROR, "我暂时还无法听清您的语音,请稍后再试吧~")
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finally:
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return reply
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