Update app.py

app.py

@@ -2,108 +2,86 @@ import gradio as gr
 import os
 import re
 import numpy as np
+import torch
 from TTS.utils.synthesizer import Synthesizer
 from huggingface_hub import hf_hub_download
 
-# 1. Maxfiy kalitni olish
-hf_token = os.environ.get("HF_TOKEN")
+# --- GLOBAL SETTINGS ---
+SAMPLE_RATE = 22050
+_synthesizer = None  # We keep this empty until needed
 
-# 2. Modelni maxfiy ombordan yuklab olish
-repo_id = "UpCoder/behruz-vits-v3-private"
-
-try:
-    print("Model fayllari yuklanmoqda...")
-    model_path = hf_hub_download(repo_id=repo_id, filename="checkpoint_43000.pth", token=hf_token)
-    config_path = hf_hub_download(repo_id=repo_id, filename="config.json", token=hf_token)
-except Exception as e:
-    print(f"Fayllarni yuklashda xatolik: {e}")
-
-# 3. Sun'iy intellektni ishga tushirish
-print("Sun'iy intellekt ishga tushmoqda...")
-synthesizer = Synthesizer(
-    tts_checkpoint=model_path,
-    tts_config_path=config_path,
-    use_cuda=False 
-)
-
-# VITS uchun standart chastota (22050 Hz)
-SAMPLE_RATE = 22050 
-
-def split_into_sentences(text):
-    sentences = re.split(r'(?<=[.!?]) +', text.strip())
-    return [s for s in sentences if s.strip()]
+def get_synthesizer():
+    """Only loads the model when it's actually called. This prevents the '137' boot crash."""
+    global _synthesizer
+    if _synthesizer is None:
+        hf_token = os.environ.get("HF_TOKEN")
+        repo_id = "UpCoder/behruz-vits-v3-private"
+        
+        print("--- Loading Behruz AI Voice Model ---")
+        try:
+            model_path = hf_hub_download(repo_id=repo_id, filename="checkpoint_43000.pth", token=hf_token)
+            config_path = hf_hub_download(repo_id=repo_id, filename="config.json", token=hf_token)
+            
+            _synthesizer = Synthesizer(
+                tts_checkpoint=model_path,
+                tts_config_path=config_path,
+                use_cuda=False # CPU is safer for free tier RAM limits
+            )
+            print("--- Model Loaded Successfully ---")
+        except Exception as e:
+            print(f"Loading failed: {e}")
+            return None
+    return _synthesizer
 
 def synthesize_full_audio(text):
-    if not text.strip():
+    if not text or not text.strip():
         return None
         
-    # Xavfsizlik: Server qotib qolmasligi uchun matnni 2000 belgi bilan cheklaymiz
-    if len(text) > 2000:
-        text = text[:2000]
+    # Safety limit to prevent RAM spikes
+    if len(text) > 1200:
+        text = text[:1200]
         
-    sentences = split_into_sentences(text)
+    synth = get_synthesizer()
+    if synth is None:
+        return None
+
+    # Sentence splitting logic
+    sentences = re.split(r'(?<=[.!?]) +', text.strip())
     all_wavs = []
-    
-    # Jumlalar orasida tabiiy nafas olish uchun 0.25 soniyalik sukut
     silence = np.zeros(int(SAMPLE_RATE * 0.25))
     
     for i, sentence in enumerate(sentences):
         try:
-            wav = synthesizer.tts(sentence)
+            wav = synth.tts(sentence)
             all_wavs.append(np.array(wav))
-            
-            # Oxirgi jumladan tashqari hammadan keyin sukut qo'shamiz
             if i < len(sentences) - 1:
                 all_wavs.append(silence)
-                
         except Exception as e:
-            print(f"Jumlani o'qishda xatolik: {sentence}. Xato: {e}")
+            print(f"Skip error: {e}")
             continue
             
     if not all_wavs:
         return None
         
-    # Barcha audio parchalarni bitta butun faylga birlashtirish
     final_wav = np.concatenate(all_wavs)
+    # Convert to 16-bit PCM for browser compatibility
     final_wav_int16 = (final_wav * 32767).astype(np.int16)
     
+    # Force clear some memory after processing
+    if torch.cuda.is_available():
+        torch.cuda.empty_cache()
+        
     return (SAMPLE_RATE, final_wav_int16)
 
-# 4. Professional va O'zbekcha Interfeys (UI) yaratish
-with gr.Blocks(theme=gr.themes.Soft(primary_hue="emerald", secondary_hue="teal")) as iface:
-    gr.Markdown(
-        """
-        <div style="text-align: center;">
-            <h1>🎙️ Behruzning Raqamli Ovozli Kloni (V3)</h1>
-            <p><strong>Mening sun'iy intellekt ovoz generatorimga xush kelibsiz!</strong> Ushbu model o'zimning haqiqiy ovozim asosida neyrotarmoqlar yordamida o'qitildi.</p>
-        </div>
-        
-        💡 **Foydali maslahat:** Katta matnlarni (masalan, butun bir xatboshini) bemalol kiritishingiz mumkin! Dastur uni avtomat ravishda jumlalarga bo'lib, xatosiz o'qib beradi va bitta tayyor audio fayl qilib taqdim etadi.
-        """
-    )
+# --- GRADIO UI ---
+with gr.Blocks(theme=gr.themes.Soft(primary_hue="emerald")) as iface:
+    gr.Markdown("# 🎙️ Behruz Voice Clone V3 (Optimized)")
     
     with gr.Row():
-        with gr.Column(scale=2):
-            text_input = gr.Textbox(
-                label="O'zbekcha matnni bu yerga kiriting (Maksimum 2000 belgi)", 
-                lines=6, 
-                placeholder="Salom! Bugun havo juda ajoyib, shunday emasmi? Men internetda yashaydigan raqamli sun'iy intellektman..."
-            )
-            generate_btn = gr.Button("🚀 Ovozga Aylantirish", variant="primary")
-            
-        with gr.Column(scale=1):
-            audio_output = gr.Audio(label="🎧 Tayyor Audio Fayl")
-            
-    gr.Examples(
-        examples=[
-            "Salom, men Behruzning raqamli egizagiman va men endi internetda yashayman!",
-            "Axborot texnologiyalari sohasida qanday yangiliklar bor, kuzatib boryapsizmi?",
-            "Voh, bu natijani umuman kutmagan edim! Qoyilmaqom ish bo'libdi."
-        ],
-        inputs=text_input,
-        label="Namuna jumlalar (birini tanlang)"
-    )
-
-    generate_btn.click(fn=synthesize_full_audio, inputs=text_input, outputs=audio_output)
+        text_input = gr.Textbox(label="O'zbekcha matn", lines=4)
+        audio_output = gr.Audio(label="Ovoz")
+        
+    btn = gr.Button("🚀 Generatsiya", variant="primary")
+    btn.click(fn=synthesize_full_audio, inputs=text_input, outputs=audio_output)
 
 iface.launch()