Update app.py

app.py

@@ -5,6 +5,23 @@ import struct
 import os
 import time
 import json
+import os
+import subprocess
+subprocess.run(['apt-get', 'update'])
+subprocess.run(['apt-get', 'install', '-y', 'build-essential', 'gawk', 'libasound2-dev', 'libpulse-dev', 'autoconf', 'automake', 'libtool'])
+subprocess.run(['wget', 'https://github.com/espeak-ng/espeak-ng/archive/refs/tags/1.52.0.tar.gz'])
+subprocess.run(['tar', 'xf', '1.52.0.tar.gz'])
+cwd = 'espeak-ng-1.52.0'
+subprocess.run(['./autogen.sh'], cwd=cwd)
+subprocess.run(['./configure'], cwd=cwd)
+subprocess.run(['make'], cwd=cwd)
+subprocess.run(['make', 'install'], cwd=cwd)
+del cwd
+env = os.environ.copy()
+env['LD_PRELOAD'] = '/usr/local/lib/libespeak-ng.so.1'
+subprocess.run(['espeak-ng', '--version'], env=env)
+from phonemizer.backend.espeak.wrapper import EspeakWrapper
+EspeakWrapper.set_library('/usr/local/lib/libespeak-ng.so.1')
 
 import numpy as np
 import torch
@@ -152,7 +169,7 @@ def tokenizer(text: str):
     """
     Converts text to a list of phoneme tokens using the global vocabulary.
     """
-    phonemes_string, _ = g2p(text)
+    phonemes_string, tokens = g2p(text)
     phonemes = [ph for ph in phonemes_string]
     print(phonemes_string)
     tokens = [phoneme_vocab[phoneme] for phoneme in phonemes if phoneme in phoneme_vocab]