Update app

app.py

@@ -3,11 +3,15 @@ import time
 import torch
 import urllib.request
 import gradio as gr
+import nltk
 import numpy as np
 import soundfile as sf
 from espnet2.bin.tts_inference import Text2Speech
 from espnet2.utils.types import str_or_none
 from pathlib import Path
+from nltk.tokenize import sent_tokenize
+
+nltk.download('punkt')
 
 gos_text2speech = Text2Speech.from_pretrained(
     model_tag="bartelds/gos_tts",
@@ -19,7 +23,7 @@ gos_text2speech = Text2Speech.from_pretrained(
 
 def inference(text, lang):
     with torch.no_grad():
-        lines = text.splitlines()
+        lines = sent_tokenize(text.lower())
         outputs = []
 
         for line in lines: