Update app.py

app.py

@@ -1,56 +1,36 @@
 import os
-import torch
 import gradio as gr
 from TTS.api import TTS
 import noisereduce as nr
 import soundfile as sf
-import gc
 
-# Memory clear karne ke liye
-gc.collect()
-
-# Agreements
 os.environ['COQUI_TOS_AGREED'] = '1'
 
-print("⏳ Loading 1.5GB Engine (XTTS v1)... thoda wait kar!")
-
-tts = None
-
-try:
-    # XTTS v1 load kar rahe hain (Size: ~1.5GB)
-    tts = TTS(model_name="tts_models/multilingual/multi-dataset/xtts", gpu=False)
-    print("✅ 1.5GB Engine Loaded!")
-except Exception as e:
-    print(f"❌ Load Error: {str(e)}")
+print("⏳ Starting Safe Engine...")
+# Ye halka engine hai, crash nahi hoga
+tts = TTS("tts_models/multilingual/multi-dataset/your_tts")
+print("✅ Engine Ready!")
 
 def generate_api_voice(text, reference_audio):
-    if tts is None:
-        return None, "⚠️ Error: Server ki memory full ho gayi, engine load nahi hua."
-    
     if not text or not reference_audio:
-        return None, "⚠️ Error: Text aur Audio dono daal bhai!"
-    
+        return None, "Text and Audio required"
     try:
-        # Voice processing
         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"
-        # Language "en" (English) par best chalta hai v1
         tts.tts_to_file(text=text, speaker_wav="clean_ref.wav", language="en", file_path=output_file)
-        
-        return output_file, "✅ Voice Generated (v1)!"
+        return output_file, "Success"
     except Exception as e:
-        return None, f"⚠️ Runtime Error: {str(e)}"
+        return None, str(e)
 
-# Interface
+# Ekdum clean UI, bina kisi extra technical pins ya clutter ke
 iface = gr.Interface(
     fn=generate_api_voice,
     inputs=[gr.Textbox(label="Script"), gr.Audio(type="filepath", label="Reference")],
-    outputs=[gr.Audio(label="Glowmation AI Result"), gr.Textbox(label="Status")],
-    title="🎙️ Glowmation - 1.5GB Engine Test"
+    outputs=[gr.Audio(label="VoiceForge Output"), gr.Textbox(label="Status")]
 )
 
 iface.launch()