Update app.py

app.py

@@ -1,18 +1,22 @@
+import os
 import gradio as gr
 from gradio_client import Client
 
+# Environment variables
+token = os.getenv("HUGGINGFACE_TOKEN")
+
 def create_dubsync_interface():
     """Create a wrapper interface for the DubSync space using gradio_client"""
-    
+
     try:
         # Connect to your private space
-        client = Client("Tamiloneto8/Test1", hf_token="YOUR_HUGGINGFACE_TOKEN", repo_type="space")
-        
+        client = Client("Tamiloneto8/Test1", hf_token=token, repo_type="space")
+
         def process_audio_wrapper(audio_file, target_language):
             """Wrapper function to interact with the private space"""
             if not audio_file or not target_language:
                 return "Please provide both audio file and target language", None
-            
+
             try:
                 # Call the main processing function from your space
                 result = client.predict(
@@ -20,19 +24,18 @@ def create_dubsync_interface():
                     target_lang=target_language,
                     api_name="/process_audio_pipeline_step1"  # This should match your space's API endpoint
                 )
-                
+
                 # Extract the relevant outputs from the result
-                # Based on your code, the function returns multiple outputs
                 if isinstance(result, (list, tuple)) and len(result) > 1:
-                    status_text = result[0]  # Processing status
-                    output_audio = result[-1] if len(result) > 10 else None  # Final audio output
+                    status_text = result[0]
+                    output_audio = result[-1] if len(result) > 10 else None
                     return status_text, output_audio
                 else:
                     return str(result), None
-                    
+
             except Exception as e:
                 return f"Error processing audio: {str(e)}", None
-        
+
         # Create a simplified interface
         interface = gr.Interface(
             fn=process_audio_wrapper,
@@ -50,15 +53,11 @@ def create_dubsync_interface():
             ],
             title="🎬 DubSync - AI Audio Dubbing",
             description="Transform your audio into another Indian language with AI dubbing technology.",
-            theme=gr.themes.Soft(),
-            examples=[
-                ["sample_audio.wav", "Hindi"],
-                ["sample_audio.wav", "Tamil"]
-            ]
+            theme=gr.themes.Soft()
         )
-        
+
         return interface
-        
+
     except Exception as e:
         print(f"Error connecting to private space: {e}")
         return None
@@ -67,7 +66,7 @@ def create_dubsync_interface():
 if __name__ == "__main__":
     # First, install gradio_client: pip install gradio_client
     interface = create_dubsync_interface()
-    
+
     if interface:
         interface.launch(
             show_error=True,
@@ -76,4 +75,4 @@ if __name__ == "__main__":
             server_port=7860
         )
     else:
-        print("Failed to create interface")
+        print("Failed to create interface")