Update app.py

app.py

@@ -1,6 +1,6 @@
 from tts_infer.tts import TextToMel, MelToWav
 from tts_infer.num_to_word_on_sent import normalize_nums
-from ai4bharat.transliteration import XlitEngine
+# from ai4bharat.transliteration import XlitEngine
 import gradio as gr
 
 
@@ -15,11 +15,11 @@ mel_to_wav_female = MelToWav(hifi_model_dir='checkpoints/hifi/female', device=de
 text_to_mel_male = create_text_to_mel('checkpoints/glow/male')
 mel_to_wav_male = MelToWav(hifi_model_dir='checkpoints/hifi/male', device=device)
 
-def translit(text, lang):
-    engine = XlitEngine(lang)
-    words = [engine.translit_word(word, topk=1)[lang][0] for word in text.split()]
-    updated_sent = ' '.join(words)
-    return updated_sent
+# def translit(text, lang):
+#     engine = XlitEngine(lang)
+#     words = [engine.translit_word(word, topk=1)[lang][0] for word in text.split()]
+#     updated_sent = ' '.join(words)
+#     return updated_sent
 
 
 
@@ -27,7 +27,7 @@ def run_tts(text, selected_voice):
     lang = "pa"  # Punjabi language code
     text = text.replace('।', '.')  
     text_num_to_word = normalize_nums(text, lang)  # converting numbers to words in lang
-    text_num_to_word_and_transliterated = translit(text_num_to_word, lang)  # transliterating English words to lang
+    # text_num_to_word_and_transliterated = translit(text_num_to_word, lang)  # transliterating English words to lang
 
     if selected_voice == "Male Voice":
         text_to_mel = text_to_mel_male
@@ -36,7 +36,7 @@ def run_tts(text, selected_voice):
         text_to_mel = text_to_mel_female
         mel_to_wav = mel_to_wav_female
 
-    mel = text_to_mel.generate_mel(text_num_to_word_and_transliterated)
+    mel = text_to_mel.generate_mel(text_num_to_word)
     audio, sr = mel_to_wav.generate_wav(mel)
     return sr, audio