import os
os.system("pip uninstall -y gradio")
os.system("pip install gradio==2.7")
import gradio as gr

#os.system('git clone https://github.com/Open-Speech-EkStep/vakyansh-tts')
os.chdir('vakyansh_tts') 
os.system('bash install.sh')
os.system('python setup.py bdist_wheel')
os.system('pip install -e .')
os.chdir('tts_infer')
os.system('mkdir translit_models')
os.chdir('translit_models')
os.system('wget -q https://storage.googleapis.com/vakyaansh-open-models/translit_models/default_lineup.json')
os.system('mkdir hindi')
os.chdir('hindi')
os.system('wget -q https://storage.googleapis.com/vakyaansh-open-models/translit_models/hindi/hindi_transliteration.zip')
os.system('unzip hindi_transliteration')

os.system('wget -q https://storage.googleapis.com/vakyansh-open-models/tts/hindi/hi-IN/female_voice_0/glow.zip')
os.system('unzip glow.zip')

os.system('wget -q https://storage.googleapis.com/vakyansh-open-models/tts/hindi/hi-IN/female_voice_0/hifi.zip')
os.system('unzip hifi.zip')
os.system('rm glow.zip')
os.system('rm hifi.zip')

os.system('mkdir male')
os.chdir('male')
os.system('wget -q https://storage.googleapis.com/vakyansh-open-models/tts/hindi/hi-IN/male_voice_1/glow.zip')
os.system('unzip glow.zip')

os.system('wget -q https://storage.googleapis.com/vakyansh-open-models/tts/hindi/hi-IN/male_voice_1/hifi.zip')
os.system('unzip hifi.zip')


os.system('pwd')
os.system('rm glow.zip')
os.system('rm hifi.zip')
os.system('pip uninstall -y numpy')
os.system('pip install numpy==1.19.5')
os.system('pip uninstall -y numba')
os.system('pip install numba==0.53')

os.chdir('/home/user/app/')
os.system('pwd')
#print('hello')

from vakyansh_tts.tts_infer.tts import TextToMel, MelToWav
from vakyansh_tts.tts_infer.transliterate import XlitEngine
from vakyansh_tts.tts_infer.num_to_word_on_sent import normalize_nums

import re
from scipy.io.wavfile import write
device = 'cpu'

text_to_mel_f = TextToMel(glow_model_dir='/home/user/app/vakyansh_tts/tts_infer/translit_models/hindi/glow_ckp', device=device)
mel_to_wav_f = MelToWav(hifi_model_dir='/home/user/app/vakyansh_tts/tts_infer/translit_models/hindi/hifi_ckp', device=device)
text_to_mel_m = TextToMel(glow_model_dir='/home/user/app/vakyansh_tts/tts_infer/translit_models/hindi/male/glow_ckp', device=device)
mel_to_wav_m = MelToWav(hifi_model_dir='/home/user/app/vakyansh_tts/tts_infer/translit_models/hindi/male/hifi_ckp', device=device)


def translit(text, lang):
    reg = re.compile(r'[a-zA-Z]')
    engine = XlitEngine(lang)
    words = [engine.translit_word(word, topk=1)[lang][0] if reg.match(word) else word for word in text.split()]
    updated_sent = ' '.join(words)
    return updated_sent
    
def run_tts(text, gender):
    print("Original Text from user: ", text)
    lang='hi'
    text = text.replace('।', '.') # only for hindi models
    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
    print("Text after preprocessing: ", text_num_to_word_and_transliterated)
    if gender == 'female':
        mel = text_to_mel_f.generate_mel(text_num_to_word_and_transliterated)
        audio, sr = mel_to_wav_f.generate_wav(mel)
    else:
        mel = text_to_mel_m.generate_mel(text_num_to_word_and_transliterated)
        audio, sr = mel_to_wav_m.generate_wav(mel)
    #write(filename='temp.wav', rate=sr, data=audio) # for saving wav file, if needed
    return (sr, audio)
    
#_, audio = run_tts('hello my name is harveen')


textbox = gr.inputs.Textbox(
    placeholder="Enter Hindi text here", default="", label="TTS"
)

choices = ['male', 'female']
radioBtns = gr.inputs.Radio(choices, type="value", default='male', label=None)

op = gr.outputs.Audio(type="numpy", label=None)
examples = [['क्रिप्टो करेंसी दरअसल, वित्तीय लेन-देन का एक जरिया है। बिल्कुल भारतीय रुपये और अमेरिकी डॉलर के समान, अंतर सिर्फ इतना है कि यह आभाषी है और दिखाई नहीं देती, न ही आप इसे छू सकते हैं।', 'male'],
            ['mujhe abhi bhi yakeen nai aa raha ki yeh aise bhi chal sakta hai', 'male'],
            ['मुझे 26 रुपए दे दो, फिर मेरे पास 50 रुपए हो जाएंगे', 'male']]

iface = gr.Interface(fn=run_tts, examples=examples, inputs=[textbox,radioBtns], outputs=op, title='Vakyansh Text To Speech (TTS): Hindi Demo', description = 'Glow TTS + hifi gan. Training Code: https://github.com/Open-Speech-EkStep/vakyansh-tts ' , article = '<br> <b>Note: This space is running on CPU, inference times will be higher. Please report issues to @harveenchadha twitter. </b>')
iface.launch(enable_queue=True, cache_examples=True)