Spaces:
Runtime error
Runtime error
File size: 2,727 Bytes
5c60553 79309e0 5c60553 79309e0 5c60553 79309e0 5c60553 79309e0 5c60553 79309e0 5c60553 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
import streamlit as st
st.set_page_config(page_title="SpeechT5", page_icon = "static/images/PLAYGROUND_LOGO_REDESIGN_IMAGE.png")
hide_menu_style = """
<style>
footer {visibility: hidden;}
</style>
"""
st.markdown(hide_menu_style, unsafe_allow_html= True)
import glob
from src.model import Model, dataset_dict
if "model_name" not in st.session_state:
st.session_state.model_name = None
st.session_state.audio = None
st.session_state.wav_file = None
st.session_state.speaker_url = ""
with st.sidebar.form("my_form"):
text = st.text_input("Your input: ")
model_name = st.selectbox(label="Model: ", options=["truong-xuan-linh/speecht5-vietnamese-commonvoice",
"truong-xuan-linh/speecht5-vietnamese-voiceclone-lsvsc",
"truong-xuan-linh/speecht5-vietnamese-hlpcvoice",
"truong-xuan-linh/speecht5-vietnamese-vstnvoice",
"truong-xuan-linh/speecht5-vietnamese-kcbnvoice",
"truong-xuan-linh/speecht5-irmvivoice",
"truong-xuan-linh/speecht5-vietnamese-voiceclone",
"truong-xuan-linh/speecht5-multilingual-voiceclone-speechbrain",
"truong-xuan-linh/speecht5-vietnamese-voiceclone-v3",
"truong-xuan-linh/speecht5-multilingual-voiceclone-pynote",
"truong-xuan-linh/speecht5-multilingual-voiceclone-speechbrain-nonverbal"])
speaker_id = st.selectbox("source voice", options= list(dataset_dict.keys()))
speaker_url = st.text_input("speaker url", value="")
# speaker_id = st.selectbox("source voice", options= glob.glob("voices/*.wav"))
if st.session_state.model_name != model_name or speaker_url != st.session_state.speaker_url :
st.session_state.model_name = model_name
st.session_state.model = Model(model_name=model_name, speaker_url=speaker_url)
st.session_state.speaker_id = speaker_id
st.session_state.speaker_url = speaker_url
# Every form must have a submit button.
submitted = st.form_submit_button("Submit")
if submitted:
st.session_state.audio = st.session_state.model.inference(text=text, speaker_id=speaker_id)
audio_holder = st.empty()
audio_holder.audio(st.session_state.audio, sample_rate=16000) |