Update app.py

app.py

@@ -1,42 +1,63 @@
 import os
+import gc
+import threading
+import time
+import sys
 import gradio as gr
 from TTS.api import TTS
 import noisereduce as nr
 import soundfile as sf
-import gc
 
 # Memory optimize
 gc.collect()
 os.environ['COQUI_TOS_AGREED'] = '1'
 
-print("⏳ Starting Bulletproof Backend (Stable Mode)...")
+print("⏳ Starting VoiceForge Backend...")
 
-# Bina kisi auto-switch ke, seedha sabse stable engine load kar rahe hain
 tts = TTS("tts_models/multilingual/multi-dataset/your_tts")
 
-print("✅ System 100% Stable and Running!")
+print("✅ System Ready!")
+
+# ── Auto-restart: 47 hrs baad restart (HF 48hr sleep se pehle) ──
+def auto_restart():
+    # 47 hours = 169200 seconds
+    time.sleep(169200)
+    print("🔄 Auto-restart: 47hrs complete — restarting now...")
+    os.execv(sys.executable, [sys.executable] + sys.argv)
+
+restart_thread = threading.Thread(target=auto_restart, daemon=True)
+restart_thread.start()
+print("⏱️ Auto-restart timer started (47 hrs)")
+
+# ── Keep-alive ping: har 25 min mein Space ko active rakhta hai ──
+def keep_alive():
+    while True:
+        time.sleep(1500)  # 25 minutes
+        print("💓 Keep-alive ping — Space still running!")
+
+ping_thread = threading.Thread(target=keep_alive, daemon=True)
+ping_thread.start()
 
 def generate_api_voice(text, reference_audio):
     if not text or not reference_audio:
-        return None, "Error: Script ya Voice missing hai bhai!"
-    
+        return None, "Error: Script ya Voice missing hai!"
     try:
-        # Audio se shor (noise) hatana
         data, rate = sf.read(reference_audio)
         if len(data.shape) > 1: data = data.mean(axis=1)
         clean_data = nr.reduce_noise(y=data, sr=rate)
         sf.write("clean_ref.wav", clean_data, rate)
 
         output_file = "output_voice.wav"
-        
-        # Voice generate karna
-        tts.tts_to_file(text=text, speaker_wav="clean_ref.wav", language="en", file_path=output_file)
-        
-        return output_file, "✅ Success: API is Live!"
+        tts.tts_to_file(
+            text=text,
+            speaker_wav="clean_ref.wav",
+            language="en",
+            file_path=output_file
+        )
+        return output_file, "✅ Success!"
     except Exception as e:
-        return None, f"⚠️ Engine Error: {str(e)}"
+        return None, f"⚠️ Error: {str(e)}"
 
-# Ekdum saaf UI (No extra clutter)
 iface = gr.Interface(
     fn=generate_api_voice,
     inputs=[
@@ -44,7 +65,7 @@ iface = gr.Interface(
         gr.Audio(type="filepath", label="Voice Upload")
     ],
     outputs=[
-        gr.Audio(label="Voice Output"), 
+        gr.Audio(label="Voice Output"),
         gr.Textbox(label="API Status")
     ],
     title="🎙️ VoiceForge AI - Stable Backend"