Update app.py

app.py

@@ -9,7 +9,7 @@ from transformers.pipelines.audio_utils import ffmpeg_read
 import tempfile
 import os
 
-MODEL_NAME = "TalTechNLP/whisper-large-v3-turbo-et-subs"
+MODEL_NAME = "TalTechNLP/whisper-large-v3-et-subs"
 BATCH_SIZE = 8
 FILE_LIMIT_MB = 1000
 YT_LENGTH_LIMIT_S = 3600  # limit to 1 hour YouTube files
@@ -84,8 +84,8 @@ def transcribe(file_path):
     
     # Calculate the length in seconds
     audio_length = len(audio_data) / 16000
-    #expected_transcribe_duration = max(59, int(audio_length / 5.0))
-    expected_transcribe_duration = 59
+    expected_transcribe_duration = max(59, int(audio_length / 5.0))
+    #expected_transcribe_duration = 59
     gr.Info(f"Starting to transcribe, requesting a GPU for {expected_transcribe_duration} seconds")
     return dynamic_gpu_duration(do_transcribe, expected_transcribe_duration, file_path)