| import wave | |
| import io | |
| from groq import Groq | |
| class SpeechToText: | |
| def __init__(self): | |
| self.client = Groq() | |
| def record_and_transcribe(self, audio_bytes): | |
| wav_buffer = io.BytesIO(audio_bytes) | |
| try: | |
| transcription = self.client.audio.transcriptions.create( | |
| file=("audio.wav", wav_buffer), | |
| model="whisper-large-v3-turbo" | |
| ) | |
| return transcription.text | |
| except Exception as e: | |
| print(f"Error transcribing: {e}") | |
| return str(e) | |
| finally: | |
| wav_buffer.close() | |
| if __name__ == "__main__": | |
| print("This script is designed to be used as a module, not run directly.") | |