Update app.py

app.py

@@ -10,6 +10,10 @@ from transformers.pipelines.audio_utils import ffmpeg_read
 import tempfile
 import os
 
+print("ola mundo1")
+
+
+
 MODEL_NAME = "openai/whisper-large-v3"
 BATCH_SIZE = 8
 FILE_LIMIT_MB = 1000
@@ -149,7 +153,7 @@ yt_transcribe = gr.Interface(
 with demo:
     gr.TabbedInterface([mf_transcribe, file_transcribe, yt_transcribe], ["Microphone", "Audio file", "YouTube"])
 
-write("ola mundo")
+print("ola mundo3")
 
 demo.launch(enable_queue=True)