Update app.py

app.py

@@ -3,7 +3,7 @@ from transformers import pipeline
 from transformers.pipelines.audio_utils import ffmpeg_read
 import gradio as gr
 
-MODEL_NAME = "riteshkr/whisper-large-v3-quantized"
+MODEL_NAME = "riteshkr/quantized-whisper-large-v3"
 BATCH_SIZE = 8
 
 device = 0 if torch.cuda.is_available() else "cpu"
@@ -14,9 +14,6 @@ pipe = pipeline(
     chunk_length_s=30,
     device=device,
 )
-
-
-# Copied from https://github.com/openai/whisper/blob/c09a7ae299c4c34c5839a76380ae407e7d785914/whisper/utils.py#L50
 def format_timestamp(seconds: float, always_include_hours: bool = False, decimal_marker: str = "."):
     if seconds is not None:
         milliseconds = round(seconds * 1000.0)
@@ -33,7 +30,6 @@ def format_timestamp(seconds: float, always_include_hours: bool = False, decimal
         hours_marker = f"{hours:02d}:" if always_include_hours or hours > 0 else ""
         return f"{hours_marker}{minutes:02d}:{seconds:02d}{decimal_marker}{milliseconds:03d}"
     else:
-        # we have a malformed timestamp so just return it as is
         return seconds