model/speech_recognizer.py

from transformers import pipeline

class SpeechRecognizer:
    def __init__(self, model_size="tiny"):
        print(f"Loading Whisper {model_size} model...")
        self.model = pipeline(
            "automatic-speech-recognition",
            model=f"openai/whisper-{model_size}",
            device=-1
        )
        print("Pipeline created successfully")

    def transcribe_audio(self, audio_path):
        result = self.model(
            audio_path,
            generate_kwargs={"language": "english"}
        )
        return result["text"]