speech_to_text.py

import whisper
import speech_recognition as sr
from pydub import AudioSegment


def transcribe_speech_recognition(file_path):
    r = sr.Recognizer()
    audio_file = sr.AudioFile(file_path)

    with audio_file as source:
        audio = r.record(source)
    transcription_result = r.recognize_google(audio, language="es")
    return transcription_result

# Function to convert mp3 file to wav
def convert_mp3_to_wav(mp3_path):
    audio = AudioSegment.from_mp3(mp3_path)
    wav_path = mp3_path.replace('.mp3', '.wav')
    audio.export(wav_path, format="wav")
    return wav_path

# Function to transcribe audio using OpenAI Whisper
def transcribe_whisper(file_path):
    # models = ['base', 'small', 'medium', 'large', 'tiny']
    model = whisper.load_model("base")
    result = model.transcribe(file_path)
    return result["text"]