nix-tts / app.py
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# Utils
import os
import soundfile as sf
# Streamlit
import streamlit as st
# Custom elements
from elements.component import (
centered_text,
)
from elements.session_states import (
init_session_state,
update_session_state,
update_model,
)
from elements.tts import (
generate_voice,
)
st.set_page_config(
page_title = "Nix-TTS Interactive Demo",
page_icon = "🐀",
)
# Initiate stuffs
init_session_state()
# ---------------------------------------------------------------------------------
# Description
centered_text("🐀 Nix-TTS Interactive Demo")
centered_text("An incredibly lightweight end-to-end text-to-speech model via knowledge distillation", "h5")
st.write(" ")
mode = "p"
st.markdown(
f"<{mode} style='text-align: left;'><small>πŸ—’οΈ This is a demo from our latest paper, <b>Nix-TTS</b> (Submitted to <b>INTERSPEECH 2022</b>)<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;You can access the paper and the released models <a href='https://github.com/rendchevi/nix-tts'>here</a><br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Authors: Rendi Chevi, Radityo Eko Prasojo, Alham Fikri Aji.<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Corresponding Author: Rendi Chevi, rendi.chevi@&#123kata.ai, gmail.com&#125</small></{mode}>",
unsafe_allow_html = True
)
# Model demo
st.write(" ")
st.write(" ")
col1, col2 = st.columns(2)
with col1:
input_text = st.text_input(
"Input Text",
value = "Born to multiply, born to gaze into night skies.",
)
with col2:
model_variant = st.selectbox("Choose Model Variant", options = ["Deterministic", "Stochastic"], index = 1)
if model_variant != st.session_state.model_variant:
# Update variant choice
update_session_state("model_variant", model_variant)
# Re-load model
update_model()
button_gen = st.button("Generate Voice")
if button_gen == True:
generate_voice(input_text)