I want to setup and test a basic & simple "Chatgpt-4o Voice-To-Voice App". I already have setup ChatGPT-4o-preview model in Azure AI Foundry, and I already have the API Key & the endpoint. I just want "THE CODE FOR THE APP"

Santosh Kumar 0 Reputation points
2024-11-29T18:09:31.93+00:00

I want to setup and test a basic & simple "Chatgpt-4o Voice-To-Voice App".

I already have setup ChatGPT-4o-preview model in Azure AI Foundry, and I already have the API Key & the endpoint. I just want "THE CODE FOR THE APP" (Microsoft has not provided the code to use, for setting up an app for this)

Azure AI Bot Service
Azure AI Bot Service
An Azure service that provides an integrated environment for bot development.
864 questions
Azure AI Speech
Azure AI Speech
An Azure service that integrates speech processing into apps and services.
1,818 questions
Azure OpenAI Service
Azure OpenAI Service
An Azure service that provides access to OpenAI’s GPT-3 models with enterprise capabilities.
3,385 questions
Azure AI services
Azure AI services
A group of Azure services, SDKs, and APIs designed to make apps more intelligent, engaging, and discoverable.
2,964 questions
{count} votes

1 answer

Sort by: Most helpful
  1. Azar 23,650 Reputation points MVP
    2024-11-29T18:56:37.4866667+00:00

    Hi there Santosh Kumar

    Thanks for using QandA platform

    you will need to integrate both speech recognition (converting voice to text) and speech synthesis in addition to using the ChatGPT-4 model through the Azure API.

    cofde snipp for voice to voice app

    import os
    import openai
    import azure.cognitiveservices.speech as speechsdk
    import pyaudio
    import wave
    # Setup Azure Cognitive Services Speech API
    speech_key = "YOUR_AZURE_SPEECH_KEY"
    region = "YOUR_AZURE_REGION"
    # Setup OpenAI (ChatGPT-4) API
    openai.api_key = 'YOUR_OPENAI_API_KEY'
    chatgpt_endpoint = "YOUR_CHATGPT_ENDPOINT"
    # Speech-to-Text: Initialize speech recognizer
    def speech_to_text():
        speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=region)
        audio_config = speechsdk.audio.AudioConfig(use_default_microphone=True)
        recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config, audio_config=audio_config)
        print("Say something...")
        result = recognizer.recognize_once()
        if result.reason == speechsdk.ResultReason.RecognizedSpeech:
            print("Recognized: {}".format(result.text))
            return result.text
        else:
            print("Speech could not be recognized.")
            return None
    # ChatGPT-4: Send text to ChatGPT-4 and get response
    def chatgpt_response(prompt):
        response = openai.Completion.create(
            model="gpt-4",
            prompt=prompt,
            max_tokens=150
        )
        return response.choices[0].text.strip()
    # Text-to-Speech: Convert text response to speech
    def text_to_speech(text):
        speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=region)
        audio_config = speechsdk.audio.AudioConfig(filename="output_audio.wav")
        synthesizer = speechsdk.SpeechSynthesizer(speech_config=speech_config, audio_config=audio_config)
        synthesizer.speak_text_async(text)
        print("Speaking the response...")
    # Main function to run Voice-to-Voice
    def voice_to_voice():
        while True:
            # Step 1: Listen and convert speech to text
            user_input = speech_to_text()
            if user_input is None:
                break
            
            # Step 2: Send input to ChatGPT-4 for processing
            chatgpt_text = chatgpt_response(user_input)
            print(f"ChatGPT-4 Response: {chatgpt_text}")
            # Step 3: Convert ChatGPT-4 response back to speech
            text_to_speech(chatgpt_text)
    # Run the app
    if __name__ == "__main__":
        voice_to_voice()
    
    
    

    Kindly accept the answer if this helps thanks.

    0 comments No comments

Your answer

Answers can be marked as Accepted Answers by the question author, which helps users to know the answer solved the author's problem.