dexotify, use code however you like

app.py

@@ -5,6 +5,7 @@ import gradio as gr
 import numpy as np
 from TTS.utils.manage import ModelManager
 from TTS.utils.synthesizer import Synthesizer
+from detoxify import Detoxify
 
 
 MODELS = {}
@@ -33,6 +34,19 @@ def tts(text: str, model_name: str):
         text = text[:MAX_TXT_LEN]
         print(f"Input text was cutoff since it went over the {MAX_TXT_LEN} character limit.")
     print(text, model_name)
+    # detoxify
+    thresholds = {
+        'toxicity': 0.4,
+        'severe_toxicity': 0.2,
+        'obscene': 0.3,
+        'threat': 0.3,
+        'insult': 0.3,
+        'identity_attack': 0.3
+    }
+
+    results = Detoxify('original').predict(text)
+    #results = Detoxify('multilingual').predict(text)
+
     # download model
     model_path, config_path, model_item = manager.download_model(model_name)
     vocoder_name: Optional[str] = model_item["default_vocoder"]