该脚本从麦克风获取输入，并将语音转录为文本，然后将文本传递给gpt tex-davinci以生成响应。
但是脚本没有生成任何gpt响应。

import openai
import gradio as gr

import whisper

import time

model = whisper.load_model("base")

prompt_input = ''

def transcribe(audio):
    global prompt_input
  
    # load audio and pad/trim it to fit 30 seconds
    audio = whisper.load_audio(audio)
    audio = whisper.pad_or_trim(audio)

    # make log-Mel spectrogram and move to the same device as the model
    mel = whisper.log_mel_spectrogram(audio).to(model.device)

    # detect the spoken language
    _, probs = model.detect_language(mel)
    print(f"Detected language: {max(probs, key=probs.get)}")

    # decode the audio
    options = whisper.DecodingOptions()
    result = whisper.decode(model, mel, options)
    prompt_input = result.text

gr.Interface(
    title='OpenAI Whisper ASR Gradio Web UI', 
    fn=transcribe, 
    inputs=[
        gr.inputs.Audio(source="microphone", type="filepath")
    ],
    outputs=[
        "textbox"
    ],
    live=True).launch(share=True)

openai.api_key = 'API_KEY'
openai.api_base = 'https://api.openai.com'

def ask_gpt(prompt, model):
    response = openai.Completion.create(
        engine=model,
        prompt=prompt,
        max_tokens=1024,
        n=1,
        stop=None,
        temperature=0.7
    )

    return response.choices[0].text.strip()

def main():
    model = 'text-davinci-003'
    while True:
        prompt = prompt_input
        if prompt.lower() == 'quit':
            break

        response = ask_gpt(prompt=f'User: {prompt}\nBot: ', model=model)
        print(f'Bot: {response}')
        
if __name__ == '__main__':
    main()

我使用openai whisper ASR web app进行语音到文本转换，使用gpt text-davinci生成响应。我在Google Colab中运行它。谢谢