最终稿：

import gradio as gr import openai, subprocess openai.api_key = "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"

messages = [{"role": "system", "content": '你是一名知识渊博，乐于助人的智能聊天机器人.你的任务是陪我聊天，请用简短的对话方式，用中文讲一段话，每次回答不超过50个字！'}]

def transcribe(audio): global messages

audio_file = open(audio, "rb")
transcript = openai.Audio.transcribe("whisper-1", audio_file)

messages.append({"role": "user", "content": transcript["text"]})

response = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=messages)

system_message = response["choices"][0]["message"]
messages.append(system_message)

subprocess.call(["wsay", system_message['content']])

chat_transcript = ""
for message in messages:
    if message['role'] != 'system':
        chat_transcript += message['role'] + ": " + message['content'] + "\n\n"

return chat_transcript

ui = gr.Interface(fn=transcribe, inputs=gr.Audio(source="microphone", type="filepath"), outputs="text").launch() ui.launch()