Updated the files for downloading the tokenizer using the requests library

app.py

@@ -15,12 +15,30 @@ import random
 import uroman as ur
 import numpy as np
 import torchaudio
+import subprocess
+import requests
 from transformers import AutoModelForCausalLM, AutoTokenizer
 from outetts.wav_tokenizer.decoder import WavTokenizer
 
+# Download files using Python's requests library instead of !wget
+def download_file(url, save_path):
+    response = requests.get(url, stream=True)
+    if response.status_code == 200:
+        with open(save_path, 'wb') as f:
+            f.write(response.content)
+        print(f"Downloaded {save_path}")
+    else:
+        print(f"Failed to download {url}")
 
-!wget https://huggingface.co/novateur/WavTokenizer-medium-speech-75token/resolve/main/wavtokenizer_mediumdata_frame75_3s_nq1_code4096_dim512_kmeans200_attn.yaml
-!wget https://huggingface.co/novateur/WavTokenizer-large-speech-75token/resolve/main/wavtokenizer_large_speech_320_24k.ckpt
+# Download required files
+download_file(
+    "https://huggingface.co/novateur/WavTokenizer-medium-speech-75token/resolve/main/wavtokenizer_mediumdata_frame75_3s_nq1_code4096_dim512_kmeans200_attn.yaml",
+    "wavtokenizer_mediumdata_frame75_3s_nq1_code4096_dim512_kmeans200_attn.yaml"
+)
+download_file(
+    "https://huggingface.co/novateur/WavTokenizer-large-speech-75token/resolve/main/wavtokenizer_large_speech_320_24k.ckpt",
+    "wavtokenizer_large_speech_320_24k.ckpt"
+)
 
 
 from yarngpt.audiotokenizer import AudioTokenizerV2