Update app.py

app.py

@@ -1,4 +1,5 @@
 import gradio as gr
+import numpy as np
 from google.cloud import speech_v1
 from google.protobuf import timestamp_pb2
 
@@ -6,23 +7,23 @@ from google.protobuf import timestamp_pb2
 def transcribe(stream, 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)
-
     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)