app.py

import gradio as gr
import uuid
import os
import gzip
import subprocess
import datetime
import time
import soundfile as sf

from app_utils import tts_interface, models

# === Only keep the 'برنا' model ===
borna_model = next(model for model in models if "برنا" in model[0] or "برنا" in model[2])
voice_id = borna_model[2]
voice_url = borna_model[3]

# === Paths ===
STATIC_DIR = "static"
os.makedirs(STATIC_DIR, exist_ok=True)
PHONETIC_FILE = os.path.join(STATIC_DIR, "fa_extra.txt.gz")

# === TTS Function ===
def tts(text):
    # Save input text for phonemizer
    input_file = os.path.join(STATIC_DIR, "input.txt")
    with open(input_file, "w", encoding="utf-8") as f:
        f.write(text.strip())

    # Run espeak-ng to get phonemes
    phonemes_result = subprocess.run(
        ["espeak-ng", "-v", "fa", "-x", "-q", "-f", input_file],
        capture_output=True,
        text=True
    )
    phonemes = phonemes_result.stdout.strip()

    # Run TTS
    (sample_rate, audio_data), _ = tts_interface(voice_id, text.strip(), '')
    out_path = os.path.join(STATIC_DIR, f"{uuid.uuid4().hex}.wav")
    sf.write(out_path, audio_data, samplerate=sample_rate, subtype="PCM_16")

    status = f"مدل: {voice_url}\nآوانگاشت: {phonemes}"
    return out_path, status

# === Phonemizer + Save ===
def phonemize(word, phonetic, task):
    if task == "phonemize" or not phonetic.strip():
        phoneme_target = word
    else:
        phoneme_target = f"[[{phonetic.strip()}]]"

    input_file = os.path.join(STATIC_DIR, "input.txt")
    with open(input_file, "w", encoding="utf-8") as f:
        f.write(phoneme_target)

    result = subprocess.run(
        ["espeak-ng", "-v", "fa", "-x", "-q", "-f", input_file],
        capture_output=True,
        text=True
    )
    phonemes = result.stdout.strip()

    out_path = os.path.join(STATIC_DIR, f"{uuid.uuid4().hex}.wav")
    subprocess.run(f'espeak-ng -v fa -w "{out_path}" -f "{input_file}"', shell=True)

    if task == "send" and phonetic.strip():
        with gzip.open(PHONETIC_FILE, "at", encoding="utf-8") as f:
            f.write(f"{word.strip()}\t{phonetic.strip()}\n")

    status = f"متن: {word}\nآوانگاشت: {phonemes}"
    return out_path, phonemes, status

# === List saved words ===
def list_words():
    entries = []
    with gzip.open(PHONETIC_FILE, "rt", encoding="utf-8") as f:
        for line in f:
            if not line.startswith("//"):
                parts = line.strip().split("\t")
                if len(parts) == 2:
                    entries.append((parts[0], parts[1]))
    return entries

# === Iran time without pytz ===
def get_iran_time():
    offset = 3.5 * 3600
    utc = time.gmtime()
    iran_time = time.localtime(time.mktime(utc) + offset)
    return datetime.datetime(*iran_time[:6]).strftime("%Y-%m-%d %H:%M:%S")

# Log start
with gzip.open(PHONETIC_FILE, "at", encoding="utf-8") as f:
    f.write(f"// started at : {get_iran_time()}\n")

# === UI ===

with gr.Blocks(title="TTS for Persian with Bornaa") as demo:
    gr.Markdown("## متن به گفتار 🗣️")

    with gr.Tab("تبدیل متن به گفتار"):
        text_input = gr.Textbox(label="متن فارسی", lines=2)
        out_audio = gr.Audio(label="خروجی صوتی")
        out_status = gr.Textbox(label="وضعیت مدل", interactive=False)

        btn_tts = gr.Button("تبدیل کن")
        btn_tts.click(tts, inputs=text_input, outputs=[out_audio, out_status])

    with gr.Tab("ویرایش تلفظ"):
        word_input = gr.Textbox(label="کلمه", placeholder="مثلاً: سلام")
        phonetic_input = gr.Textbox(label="آوانویسی دلخواه (اختیاری)")
        task_choice = gr.Radio(label="عملیات", choices=["phonemize", "send"], value="phonemize")

        ph_audio = gr.Audio(label="صدای تولیدشده")
        ph_output = gr.Textbox(label="آوانگاشت")
        ph_status = gr.Textbox(label="وضعیت", interactive=False)

        btn_phonemize = gr.Button("انجام")
        btn_phonemize.click(phonemize,
                            inputs=[word_input, phonetic_input, task_choice],
                            outputs=[ph_audio, ph_output, ph_status])

    with gr.Tab("واژه‌های اخیر"):
        gr.Markdown("### واژه‌های ذخیره‌شده")
        word_table = gr.Dataframe(headers=["کلمه", "آوانویسی"], datatype=["str", "str"])
        btn_load_words = gr.Button("بارگذاری")
        btn_load_words.click(fn=list_words, inputs=[], outputs=[word_table])

demo.launch()