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	| import gradio as gr | |
| from google.cloud import speech_v1 | |
| from google.protobuf import timestamp_pb2 | |
| def transcribe(audio_bytes): | |
| """Transcribe audio bytes to text using Google Cloud Speech to Text.""" | |
| # 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 | |
| return transcript | |
| demo = gr.Interface( | |
| transcribe, | |
| gr.Audio(sources=["microphone"], streaming=True), | |
| "text", | |
| live=True, | |
| ) | |
| demo.launch() | |

