You're on the right path of emulating streaming transcription with Whisper — that's the best workaround available at the moment, TheOpenAI's whisper-1 API is only capable of batch processing and not streaming.

let me describe it for you -

• Emulating Streaming with Whisper (Python)
  first, breaking down the audio into small segments (e.g., every 2-5 seconds) and processing them in chunked form and passing them into Whisper is the most prevalent and efficient method for simulating real-time transcription. Here's what you can do:

Method: Chunked Streaming Simulation
Record audio in chunks via a microphone stream.
Store each chunk into a temporary buffer or file.
Pass the chunk to Whisper (whisper-1) API or locally execute if you have the open-source model.
Show the transcription incrementally.

• Python Utilities You May Use:
  pyaudio or sounddevice — for recording microphone sound in chunks.
  queue.Queue — for handling chunks of audio asynchronously.
  openai.Audio.transcribe("whisper-1",.) — for transcribing a chunk if you are using the OpenAI API.
  Or use OpenAI whisper for local inference with faster turnaround.

If you're interested, I can help you set up a full real-time transcription.