Update app.py

app.py

@@ -1,38 +1,47 @@
+
+from sentence_analyzer import SentenceAnalyzer
 import re
 import tempfile
 from collections import OrderedDict
+from importlib.resources import files
+
 import click
 import gradio as gr
 import numpy as np
 import soundfile as sf
 import torchaudio
 from cached_path import cached_path
-from sentence_analyzer import SentenceAnalyzer
-from f5_tts.model import DiT
-from f5_tts.infer.utils_infer import (
-    load_vocoder,
-    load_model,
-    preprocess_ref_audio_text,
-    infer_process,
-    remove_silence_for_generated_wav,
-    save_spectrogram,
-)
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
 try:
     import spaces
+
     USING_SPACES = True
 except ImportError:
     USING_SPACES = False
 
 
-import nltk
-nltk.download('punkt_tab')
-
 def gpu_decorator(func):
     if USING_SPACES:
         return spaces.GPU(func)
     else:
         return func
 
+
+from f5_tts.model import DiT, UNetT
+from f5_tts.infer.utils_infer import (
+    load_vocoder,
+    load_model,
+    preprocess_ref_audio_text,
+    infer_process,
+    remove_silence_for_generated_wav,
+    save_spectrogram,
+)
+
+import nltk
+nltk.download('punkt_tab')
+
+
 # Carregar vocoder
 vocoder = load_vocoder()