import streamlit as st
import torch
from TTS.api import TTS
import os
import tempfile

os.environ["COQUI_TOS_AGREED"] = "1"

device = "cuda" if torch.cuda.is_available() else "cpu"

# Initialize TTS model
@st.cache_resource
def load_tts_model():
    return TTS("tts_models/multilingual/multi-dataset/xtts_v2").to(device)

tts = load_tts_model()

def clone(text, audio_file, language, speaking_rate, pitch, volume, 
          emotion, sample_rate, temperature, seed):
    if seed is not None:
        torch.manual_seed(seed)
    
    with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as temp_audio:
        temp_audio_path = temp_audio.name
    
    tts.tts_to_file(
        text=text, 
        speaker_wav=audio_file,
        language=language,
        file_path=temp_audio_path
    )
    
    return temp_audio_path

st.title('Advanced Voice Clone')
st.write('Customize your voice cloning experience with various parameters.')

text = st.text_area('Text')
audio_file = st.file_uploader('Voice reference audio file', type=['wav', 'mp3'])
language = st.selectbox('Language', ["en", "es", "fr", "de", "it"], index=0)
speaking_rate = st.slider('Speaking Rate', 0.5, 2.0, 1.0)
pitch = st.slider('Pitch Adjustment', -10, 10, 0)
volume = st.slider('Volume', 0.1, 2.0, 1.0)
emotion = st.selectbox('Emotion', ["neutral", "happy", "sad", "angry"], index=0)
sample_rate = st.selectbox('Sample Rate', [22050, 24000, 44100, 48000], index=1)
temperature = st.slider('Temperature', 0.1, 1.0, 0.8)
seed = st.number_input('Seed (optional)', value=None)

if st.button('Generate'):
    if text and audio_file:
        with st.spinner('Generating audio...'):
            output_path = clone(text, audio_file, language, speaking_rate, pitch, volume, 
                                emotion, sample_rate, temperature, seed)
            st.audio(output_path)
    else:
        st.warning('Please provide both text and a voice reference audio file.')

# Clean up temporary files
for file in os.listdir():
    if file.endswith('.wav') and file.startswith('tmp'):
        os.remove(file)