app.py

import gradio as gr
import torch
from transformers import AutoProcessor, CsmForConditionalGeneration
import librosa
import numpy as np
import soundfile as sf
import tempfile
import os
import re
import spaces
from csm1b_dv import (
    get_csm1b_tab, load_model, get_current_speaker_prompts, 
    get_model_info, get_speaker_choices, load_audio_file,
    generate_simple_audio, generate_context_audio, trim_silence,
    split_sentences, extract_audio_output, generate_conversation,
    change_model_and_update_ui
)
from dia_1_6B_dv import get_dia_1_6B_tab

with gr.Blocks(
    title="Dhivehi (Thaana) Text-to-Speech",
    css="""
    .dhivehi-text textarea {
        font-size: 18px !important;
        font-family: 'MV_Faseyha', 'Faruma', 'A_Faruma', monospace !important;
        line-height: 1.8 !important;
        direction: rtl !important;
        text-align: right !important;
    }
    .dhivehi-text input {
        font-size: 18px !important;
        font-family: 'MV_Faseyha', 'Faruma', 'A_Faruma', monospace !important;
        direction: rtl !important;
        text-align: right !important;
    }
    """
) as app:
    get_csm1b_tab()
    get_dia_1_6B_tab()

if __name__ == "__main__":
    app.launch(share=False)