This is absolute garbage python as I am neither a python developer, nor a good developer. I was trying to play around with real time transcriptions. However, it does work!

> * recording * done recording Recording saved to file.wav Press enter to transcribe

/Users/laptop/Development/Personal/Public/pythonProject1/venv/lib/python3.9/site-packages/whisper/transcribe.py:70: UserWarning: FP16 is not supported on CPU; using FP32 instead warnings.warn("FP16 is not supported on CPU; using FP32 instead") Detected language: english Goodbye, I need to go pick up my wife. Press enter to start recording

Any improvements welcome here.

``` # This is a sample Python script.

# Press ⌃R to execute it or replace it with your code. # Press Double ⇧ to search everywhere for classes, files, tool windows, actions, and settings.

def print_hi(name): # Use a breakpoint in the code line below to debug your script. print(f'Hi, {name}') # Press ⌘F8 to toggle the breakpoint.

def record_microphone(seconds): import pyaudio import wave

    CHUNK = 1024
    FORMAT = pyaudio.paInt16
    CHANNELS = 1
    RATE = 44100
    RECORD_SECONDS = seconds
    WAVE_OUTPUT_FILENAME = "file.wav"

    p = pyaudio.PyAudio()

    stream = p.open(format=FORMAT,
                    channels=CHANNELS,
                    rate=RATE,
                    input=True,
                    frames_per_buffer=CHUNK)

    print("* recording")

    frames = []

    for i in range(0, int(RATE / CHUNK * RECORD_SECONDS)):
        data = stream.read(CHUNK)
        frames.append(data)

    print("* done recording")

    stream.stop_stream()
    stream.close()
    p.terminate()

    wf = wave.open(WAVE_OUTPUT_FILENAME, 'wb')
    wf.setnchannels(CHANNELS)
    wf.setsampwidth(p.get_sample_size(FORMAT))
    wf.setframerate(RATE)
    wf.writeframes(b''.join(frames))
    wf.close()

    return WAVE_OUTPUT_FILENAME

if __name__ == '__main__': seconds = 5 while True: print("Press enter to start recording") input() filename = record_microphone(seconds) print("Recording saved to " + filename) print("Press enter to transcribe") input() import whisper model = whisper.load_model("base")

        result = model.transcribe(filename)
        print(result["text"])

```