Update app.py

app.py

@@ -174,7 +174,7 @@ from transformers.pipelines.audio_utils import ffmpeg_read
 import tempfile
 import os
 
-MODEL_NAME = "razhan/whisper-small-ckb"
+MODEL_NAME = "razhan/whisper-base-ckb"
 BATCH_SIZE = 1
 FILE_LIMIT_MB = 10
 YT_LENGTH_LIMIT_S = 60 * 10  # limit to 1 hour YouTube files
@@ -310,6 +310,7 @@ yt_transcribe = gr.Interface(
 )
 
 with demo:
-    gr.TabbedInterface([mf_transcribe, file_transcribe, yt_transcribe], ["Microphone", "Audio file", "YouTube"])
+    # gr.TabbedInterface([mf_transcribe, file_transcribe, yt_transcribe], ["Microphone", "Audio file", "YouTube"])
+    gr.TabbedInterface([mf_transcribe, file_transcribe], ["Microphone", "Audio file"])
 
 demo.queue().launch(ssr_mode=False)