Azure OpenAI 语音转语音聊天_azure openai 语音转语音聊天 restful

总体而言：

一个文件—— 自建 python文件 openai-speech.py，代码粘贴即可：

两个依赖—— 使用 pip 安装 azure-cognitiveservices-speech，openai

三个可修改变量：

• 若要更改语音识别语言，请将 en-US 替换为其他支持的语言。 例如，es-ES 代表西班牙语（西班牙）。 如果未指定语言，则默认语言为 en-US。 若要详细了解如何从多种使用的语言中进行识别，请参阅语言识别。
• 若要更改你听到的语音，请将 en-US-JennyMultilingualNeural 替换为另一个受支持的语音。 如果语音不使用从 Azure OpenAI 返回的文本的语言，则语音服务不会输出合成音频。
• 若要使用不同的模型，请将 text-davinci-002 替换为另一个部署的 ID。 请记住，部署 ID 不一定与模型名称相同。 你是在 Azure OpenAI Studio 中创建部署时为其命名的。

四个环境变量：

setx OPEN_AI_KEY your-openai-key
setx OPEN_AI_ENDPOINT your-openai-endpoint
setx SPEECH_KEY your-speech-key
setx SPEECH_REGION your-speech-region

附代码：

import os
import azure.cognitiveservices.speech as speechsdk
import openai
 
# This example requires environment variables named "OPEN_AI_KEY" and "OPEN_AI_ENDPOINT"
# Your endpoint should look like the following https://YOUR_OPEN_AI_RESOURCE_NAME.openai.azure.com/
openai.api_key = os.environ.get('OPEN_AI_KEY')
openai.api_base =  os.environ.get('OPEN_AI_ENDPOINT')
openai.api_type = 'azure'
openai.api_version = '2022-12-01'
 
# This will correspond to the custom name you chose for your deployment when you deployed a model.
deployment_id='text-davinci-002' 
 
# This example requires environment variables named "SPEECH_KEY" and "SPEECH_REGION"
speech_config = speechsdk.SpeechConfig(subscription=os.environ.get('SPEECH_KEY'), region=os.environ.get('SPEECH_REGION'))
audio_output_config = speechsdk.audio.AudioOutputConfig(use_default_speaker=True)
audio_config = speechsdk.audio.AudioConfig(use_default_microphone=True)
 
# Should be the locale for the speaker's language.
speech_config.speech_recognition_language="en-US"
speech_recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config, audio_config=audio_config)
 
# The language of the voice that responds on behalf of Azure OpenAI.
speech_config.speech_synthesis_voice_name='en-US-JennyMultilingualNeural'
speech_synthesizer = speechsdk.SpeechSynthesizer(speech_config=speech_config, audio_config=audio_output_config)
 
# Prompts Azure OpenAI with a request and synthesizes the response.
def ask_openai(prompt):
 
    # Ask Azure OpenAI
    response = openai.Completion.create(engine=deployment_id, prompt=prompt, max_tokens=100)
    text = response['choices'][0]['text'].replace('\n', ' ').replace(' .', '.').strip()
    print('Azure OpenAI response:' + text)
 
    # Azure text to speech output
    speech_synthesis_result = speech_synthesizer.speak_text_async(text).get()
 
    # Check result
    if speech_synthesis_result.reason == speechsdk.ResultReason.SynthesizingAudioCompleted:
        print("Speech synthesized to speaker for text [{}]".format(text))
    elif speech_synthesis_result.reason == speechsdk.ResultReason.Canceled:
        cancellation_details = speech_synthesis_result.cancellation_details
        print("Speech synthesis canceled: {}".format(cancellation_details.reason))
        if cancellation_details.reason == speechsdk.CancellationReason.Error:
            print("Error details: {}".format(cancellation_details.error_details))
 
# Continuously listens for speech input to recognize and send as text to Azure OpenAI
def chat_with_open_ai():
    while True:
        print("Azure OpenAI is listening. Say 'Stop' or press Ctrl-Z to end the conversation.")
        try:
            # Get audio from the microphone and then send it to the TTS service.
            speech_recognition_result = speech_recognizer.recognize_once_async().get()
 
            # If speech is recognized, send it to Azure OpenAI and listen for the response.
            if speech_recognition_result.reason == speechsdk.ResultReason.RecognizedSpeech:
                if speech_recognition_result.text == "Stop.": 
                    print("Conversation ended.")
                    break
                print("Recognized speech: {}".format(speech_recognition_result.text))
                ask_openai(speech_recognition_result.text)
            elif speech_recognition_result.reason == speechsdk.ResultReason.NoMatch:
                print("No speech could be recognized: {}".format(speech_recognition_result.no_match_details))
                break
            elif speech_recognition_result.reason == speechsdk.ResultReason.Canceled:
                cancellation_details = speech_recognition_result.cancellation_details
                print("Speech Recognition canceled: {}".format(cancellation_details.reason))
                if cancellation_details.reason == speechsdk.CancellationReason.Error:
                    print("Error details: {}".format(cancellation_details.error_details))
        except EOFError:
            break
 
# Main
 
try:
    chat_with_open_ai()
except Exception as err:
    print("Encountered exception. {}".format(err))

参见：

Azure OpenAI 语音转语音聊天 - 语音服务 - Azure Cognitive Services | Microsoft Learn