app.py

import gradio as gr
import numpy as np
from google.cloud import speech_v1
from google.protobuf import timestamp_pb2


def transcribe(stream, audio_bytes):
    """Transcribe audio bytes to text using Google Cloud Speech to Text."""

    sr, y = audio_bytes
    y = y.astype(np.float32)
    y /= np.max(np.abs(y))
    if stream is not None:
        # Crea un cliente de Speech to Text
        client = speech_v1.SpeechClient()
    
        # Configura la configuración de la solicitud
        config = speech_v1.RecognitionConfig()
        config.language_code = "es-ES"
        config.encoding = speech_v1.RecognitionConfig.Encoding.LINEAR16
        config.sample_rate_hertz = 16000
    
        # Crea una solicitud de reconocimiento de audio
        audio = speech_v1.RecognitionAudio(content=audio_bytes)
        request = speech_v1.RecognizeSpeechRequest(config=config, audio=audio)

        # Realiza la transcripción
        response = client.recognize_speech(request)
    
        # Extrae el texto transcrito
        transcript = response.results[0].alternatives[0].transcript
    else:
        stream = y
    return stream, transcript


demo = gr.Interface(
    transcribe,
    ["state", gr.Audio(sources=["microphone"], streaming=True)],
    ["state", "text"],
    live=True,
)

demo.launch()