Update app.py

app.py

@@ -3,6 +3,7 @@ import gc
 import threading
 import time
 import sys
+import requests
 import gradio as gr
 from TTS.api import TTS
 import noisereduce as nr
@@ -12,52 +13,78 @@ import soundfile as sf
 gc.collect()
 os.environ['COQUI_TOS_AGREED'] = '1'
 
-print("⏳ Starting VoiceForge Backend...")
+print("⏳ Starting VoiceForge AI Backend (Developer: Rahul Terpathi)...")
 
+# Main Heavy Engine
 tts = TTS("tts_models/multilingual/multi-dataset/your_tts")
 
 print("✅ System Ready!")
 
-# ── Auto-restart: 47 hrs baad restart (HF 48hr sleep se pehle) ──
+# ── Auto-restart: 47 hrs baad restart ──
 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)")
+threading.Thread(target=auto_restart, daemon=True).start()
 
-# ── Keep-alive ping: har 25 min mein Space ko active rakhta hai ──
+# ── Keep-alive ping: 25 min ──
 def keep_alive():
     while True:
-        time.sleep(1500)  # 25 minutes
+        time.sleep(1500)
         print("💓 Keep-alive ping — Space still running!")
 
-ping_thread = threading.Thread(target=keep_alive, daemon=True)
-ping_thread.start()
+threading.Thread(target=keep_alive, daemon=True).start()
 
 def generate_api_voice(text, reference_audio):
-    if not text or not reference_audio:
-        return None, "Error: Script ya Voice missing hai!"
+    if not text:
+        return None, "Error: Script missing!"
+    
     try:
+        if not reference_audio:
+            raise Exception("No reference audio provided for main engine")
+
+        # Audio clean karna
         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"
+        
+        # Main Voice Generation
         tts.tts_to_file(
             text=text,
             speaker_wav="clean_ref.wav",
             language="en",
             file_path=output_file
         )
-        return output_file, "✅ Success!"
+        
+        # ✅ Process ke baad kachra saaf
+        gc.collect()
+        return output_file, "✅ Success: Main Engine"
+
     except Exception as e:
-        return None, f"⚠️ Error: {str(e)}"
+        print(f"⚠️ Main Engine Overloaded. Auto-Switching... Error: {e}")
+        # 🔄 AUTO-SWITCH: Agar Your_TTS fail ho gaya (OOM ya error), toh halki API par switch karega
+        try:
+            gc.collect() # Pura RAM free karo
+            fallback_url = "https://api-inference.huggingface.co/models/facebook/mms-tts-eng"
+            resp = requests.post(fallback_url, json={"inputs": text})
+            
+            if resp.status_code == 200:
+                with open("fallback_voice.wav", "wb") as f:
+                    f.write(resp.content)
+                return "fallback_voice.wav", "⚡ Auto-Switched to Backup Engine!"
+            else:
+                raise Exception("Backup API Busy")
+        except Exception as backup_e:
+            # Agar dono fail ho jayein (Extreme Memory Crash), toh khud ko restart kar lo
+            print("💥 Fatal Crash! Rebooting System...")
+            os.execv(sys.executable, [sys.executable] + sys.argv)
+            return None, "🔄 Restarting Server..."
 
+# ── Clean & Simple UI ──
 iface = gr.Interface(
     fn=generate_api_voice,
     inputs=[
@@ -68,7 +95,8 @@ iface = gr.Interface(
         gr.Audio(label="Voice Output"),
         gr.Textbox(label="API Status")
     ],
-    title="🎙️ VoiceForge AI - Stable Backend"
+    title="🎙️ VoiceForge AI"
 )
 
-iface.launch()
+# show_api=False se faltu clutter nahi aayega backend mein
+iface.launch(show_api=False)