Update app.py

app.py

@@ -66,7 +66,18 @@ class TTS_Interface:
     def read(self, prompt, language, accent, speaker):
         language = language.split()[0]
         accent = accent.split()[0]
-        if len(prompt) > 2000:
+        if self.current_language != language:
+            self.model.set_phonemizer_language(self.language_id_lookup[language])
+            self.current_language = language
+        if self.current_accent != accent:
+            self.model.set_accent_language(self.language_id_lookup[accent])
+            self.current_accent = accent
+        if self.current_speaker != speaker:
+            self.model.set_utterance_embedding(self.speaker_path_lookup[speaker])
+            self.current_speaker = speaker
+            
+        phones = self.model.text2phone.get_phone_string(prompt)
+        if len(phones) > 1800:
             if language == "English":
                 prompt = "Your input was too long. Please try either a shorter text or split it into several parts."
             elif language == "German":
@@ -91,17 +102,9 @@ class TTS_Interface:
                 prompt = "O seu contributo foi demasiado longo. Por favor, tente um texto mais curto ou divida-o em várias partes."
             elif language == 'Italian':
                 prompt = "Il tuo input era troppo lungo. Per favore, prova un testo più corto o dividilo in più parti."
+            phones = self.model.text2phone.get_phone_string(prompt)
 
-        if self.current_language != language:
-            self.model.set_phonemizer_language(self.language_id_lookup[language])
-            self.current_language = language
-        if self.current_accent != accent:
-            self.model.set_accent_language(self.language_id_lookup[accent])
-            self.current_accent = accent
-        if self.current_speaker != speaker:
-            self.model.set_utterance_embedding(self.speaker_path_lookup[speaker])
-            self.current_speaker = speaker
-        wav = self.model(prompt)
+        wav = self.model(phones)
         return 48000, float2pcm(wav.cpu().numpy())