Update app.py

app.py

@@ -5,61 +5,49 @@ import noisereduce as nr
 import soundfile as sf
 import gc
 
-# Memory optimize kar rahe hain
+# Memory optimize
 gc.collect()
 os.environ['COQUI_TOS_AGREED'] = '1'
 
-print("⏳ Loading Final Engine Strategy...")
+print("⏳ Starting Bulletproof Backend (Stable Mode)...")
 
-tts = None
-engine_status = ""
+# Bina kisi auto-switch ke, seedha sabse stable engine load kar rahe hain
+tts = TTS("tts_models/multilingual/multi-dataset/your_tts")
 
-# 🔄 AUTO-SWITCH LOGIC
-try:
-    # Level 1: NeuTTS (XTTS v2) - Best Quality
-    print("🚀 Attempting to load NeuTTS Air...")
-    tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2")
-    engine_status = "NeuTTS (Pro Quality)"
-    print("✅ NeuTTS Loaded Successfully!")
-except Exception as e:
-    # Level 2: Your_TTS - Guaranteed Stability
-    print(f"⚠️ RAM Limit Hit! Switching to Your_TTS. Error: {e}")
-    tts = TTS("tts_models/multilingual/multi-dataset/your_tts")
-    engine_status = "Stable Your_TTS (Standard)"
-    print("✅ Backup Engine Loaded!")
+print("✅ System 100% Stable and Running!")
 
-def voice_forge_api(text, reference_audio):
+def generate_api_voice(text, reference_audio):
     if not text or not reference_audio:
-        return None, "Script aur Voice dono daalo bhai!"
+        return None, "Error: Script ya Voice missing hai bhai!"
     
     try:
-        # Audio cleaning
+        # 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_path = "voice_output.wav"
+        output_file = "output_voice.wav"
         
-        # Voice generation
-        tts.tts_to_file(text=text, speaker_wav="clean_ref.wav", language="en", file_path=output_path)
+        # Voice generate karna
+        tts.tts_to_file(text=text, speaker_wav="clean_ref.wav", language="en", file_path=output_file)
         
-        return output_path, f"Done! Powered by: {engine_status}"
+        return output_file, "✅ Success: API is Live!"
     except Exception as e:
-        return None, f"Error: {str(e)}"
+        return None, f"⚠️ Engine Error: {str(e)}"
 
-# Clean Professional UI
+# Ekdum saaf UI (No extra clutter)
 iface = gr.Interface(
-    fn=voice_forge_api,
+    fn=generate_api_voice,
     inputs=[
-        gr.Textbox(label="Script", placeholder="Yahan apna text likho..."),
-        gr.Audio(type="filepath", label="Voice Sample (Upload/Record)")
+        gr.Textbox(label="Script"),
+        gr.Audio(type="filepath", label="Voice Upload")
     ],
     outputs=[
-        gr.Audio(label="Glowmation Voice Output"),
-        gr.Textbox(label="Engine Info")
+        gr.Audio(label="Voice Output"), 
+        gr.Textbox(label="API Status")
     ],
-    title="🎙️ VoiceForge AI Studio"
+    title="🎙️ VoiceForge AI - Stable Backend"
 )
 
 iface.launch()