small fixes

app.py

@@ -23,13 +23,13 @@ import logging
 import os
 import tempfile
 import time
+import urllib.request
+import uuid
 from datetime import datetime
 
 import gradio as gr
 import torch
 import torchaudio
-import urllib.request
-
 
 from examples import examples
 from model import decode, get_pretrained_model, language_to_models, sample_rate
@@ -39,12 +39,11 @@ languages = list(language_to_models.keys())
 
 def convert_to_wav(in_filename: str) -> str:
     """Convert the input audio file to a wave file"""
-    out_filename = in_filename + ".wav"
+    out_filename = str(uuid.uuid4())
+    out_filename = f"{in_filename}.wav"
+
     logging.info(f"Converting '{in_filename}' to '{out_filename}'")
     _ = os.system(f"ffmpeg -hide_banner -i '{in_filename}' -ar 16000 '{out_filename}'")
-    _ = os.system(
-        f"ffmpeg -hide_banner -loglevel error -i '{in_filename}' -ar 16000 '{out_filename}.flac'"
-    )
 
     return out_filename