Update app.py

app.py

@@ -1,55 +1,87 @@
-import os
+import uuid
 import gradio as gr
 import torch
-import spaces # ZeroGPU Magic
+import spaces
+from TTS.api import TTS
+from supabase import create_client, Client
 
-# 1. Terms Accept
-os.environ["COQUI_TOS_AGREED"] = "1"
+# 👇 यहाँ हमने आपकी नई अलग फाइल को इंपोर्ट किया
+import config
 
-# 2. Model Installation Check
-print("⏳ Importing TTS...")
-try:
-    from TTS.api import TTS
-except ImportError:
-    print("❌ TTS Install Failed. Check requirements.txt")
-    raise
+# 1. Setup Supabase (Using config file)
+supabase = None
+if config.IS_CONNECTED:
+    try:
+        supabase: Client = create_client(config.SUPABASE_URL, config.SUPABASE_KEY)
+        print("✅ Supabase Client Connected!")
+    except Exception as e:
+        print(f"❌ Connection Error: {e}")
 
-# 3. Load Model (GPU Support)
+# 2. Terms & Model Setup
+import os
+os.environ["COQUI_TOS_AGREED"] = "1"
 device = "cuda" if torch.cuda.is_available() else "cpu"
-print(f"⚙️ Device Selected: {device}")
+print(f"⚙️ Device: {device}")
 
-# Model ko global variable mein rakhenge
+print("⏳ Loading XTTS Model...")
 tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2").to(device)
 
-# 4. Voice Cloning Function (With ZeroGPU Decorator)
-@spaces.GPU(duration=120) 
+# 3. Main Logic
+@spaces.GPU(duration=120)
 def clone_voice(text, language, speaker_audio):
     if not text or not speaker_audio:
-        return None
+        return None, "Error: Text or Audio missing"
     
+    filename = f"generated_{uuid.uuid4()}.wav"
     output_path = "output.wav"
     
-    # Generate Audio
+    # A. Generate Audio
+    print("🎙️ Generating...")
     tts.tts_to_file(
         text=text,
         file_path=output_path,
         speaker_wav=speaker_audio,
         language=language
     )
-    return output_path
+    
+    # B. Upload using Config vars
+    storage_url = "Not Saved"
+    if supabase:
+        try:
+            with open(output_path, 'rb') as f:
+                supabase.storage.from_("voice-bucket").upload(filename, f)
+            
+            # URL बनाना
+            storage_url = f"{config.SUPABASE_URL}/storage/v1/object/public/voice-bucket/{filename}"
+            print(f"✅ Uploaded: {storage_url}")
 
-# 5. UI Setup
-iface = gr.Interface(
+            # Database Entry
+            data = {
+                "name": f"Clone_{language}",
+                "file_path": storage_url,
+                "ref_text": text
+            }
+            supabase.table("clones").insert(data).execute()
+
+        except Exception as e:
+            print(f"❌ Error: {e}")
+            storage_url = f"Error: {e}"
+
+    return output_path, storage_url
+
+# 4. Interface
+with gr.Interface(
     fn=clone_voice,
     inputs=[
-        gr.Textbox(label="Text to Speak", value="Namaste, ye meri cloned aawaz hai.", lines=2),
+        gr.Textbox(label="Text", value="Config file test successful!", lines=2),
         gr.Dropdown(label="Language", choices=["hi", "en"], value="hi"),
-        gr.Audio(label="Upload Speaker Voice (WAV/MP3)", type="filepath")
+        gr.Audio(label="Audio", type="filepath")
     ],
-    outputs=gr.Audio(label="Generated Audio"),
-    title="🚀 Shubham's Super Fast XTTS (H200 GPU)",
-    description="ZeroGPU powered Hindi Voice Cloning."
-)
-
-if __name__ == "__main__":
+    outputs=[
+        gr.Audio(label="Result"),
+        gr.Textbox(label="Cloud Link")
+    ],
+    title="🚀 Shubham's Clean Code XTTS",
+    description="Running with separate config file."
+) as iface:
     iface.launch(server_name="0.0.0.0", server_port=7860)