Add application file

.vscode/settings.json

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+{
+    "python.analysis.extraPaths": [
+        "./vakyansh-tts"
+    ]
+}

app.py

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+from tts_infer.tts import TextToMel, MelToWav
+from tts_infer.transliterate import XlitEngine
+from tts_infer.num_to_word_on_sent import normalize_nums
+
+import re
+import numpy as np
+from scipy.io.wavfile import write
+
+from mosestokenizer import *
+from indicnlp.tokenize import sentence_tokenize
+import gradio as gr
+
+
+INDIC = ["as", "bn", "gu", "hi", "kn", "ml", "mr", "or", "pa", "ta", "te"]
+
+def split_sentences(paragraph, language):
+    if language == "en":
+        with MosesSentenceSplitter(language) as splitter:
+            return splitter([paragraph])
+    elif language in INDIC:
+        return sentence_tokenize.sentence_split(paragraph, lang=language)
+
+
+device='cpu'
+text_to_mel = TextToMel(glow_model_dir='vakyansh-tts/tts_infer/odia/glow', device=device)
+mel_to_wav = MelToWav(hifi_model_dir='vakyansh-tts/tts_infer/odia/hifi', device=device)
+
+
+def run_tts(text, lang):
+    final_text = text
+    mel = text_to_mel.generate_mel(final_text)
+    audio, sr = mel_to_wav.generate_wav(mel)
+    write(filename='temp.wav', rate=sr, data=audio) # for saving wav file, if needed
+    return (sr, audio)
+
+def run_tts_paragraph(text, lang):
+    audio_list = []
+    split_sentences_list = split_sentences(text, language='hi')
+
+    for sent in split_sentences_list:
+        sr, audio = run_tts(sent, lang)
+        audio_list.append(audio)
+
+    concatenated_audio = np.concatenate([i for i in audio_list])
+    write(filename='temp_long.wav', rate=sr, data=concatenated_audio)
+    return (sr, concatenated_audio)
+
+
+
+_, audio = run_tts("ଆମେ ଦୁଖିତ, ଆପଣଙ୍କର ଚିନ୍ତାଧାରାକୁ ସମାଧାନ କରିବାରେ ଅସମର୍ଥ, ଆମେ ଆପଣଙ୍କ ସହ ଯୋଗାଯୋଗ କରିବାକୁ ୱାର୍କସପ୍ଦ ଦଳକୁ କହିବୁ, ତୁମର ଦିନ ଶୁଭମୟ ହଉ.", "or")
+
+
+options = ["Odia"]
+
+newOptions = ["Male","Female"]
+language = gr.Dropdown(options,label="Select language") 
+gender =  gr.Dropdown(newOptions,label="Select Voice")
+input = gr.Textbox(
+            label="Input from model will appear here:",
+            lines=5
+        )
+output = gr.Audio(label="Output from model will appear here:", type="filepath") 
+
+gr.Interface(run_tts, inputs = [input,language],  outputs=output,
+             streaming=True, interactive=True,
+             analytics_enabled=False, show_tips=False, enable_queue=True).launch(inline=False);

vakyansh-tts

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+Subproject commit 4612b386e0e604fe892ec03e8cb1227eabc6080c