Clean up debugging output

app.py

@@ -65,20 +65,14 @@ try:
     with tarfile.open(voices_tgz, "r:gz") as tar:
         tar.extractall(VOICES_DIR)
 
-    # List extracted files to find the correct path
-    print(f"Voices extracted to: {VOICES_DIR}")
-    for root, dirs, files in os.walk(VOICES_DIR):
-        for f in files:
-            full_path = os.path.join(root, f)
-            rel_path = os.path.relpath(full_path, VOICES_DIR)
-            print(f"  Voice file: {rel_path}")
-
-    # Check if voices are in a subdirectory (e.g., "voices/")
-    subdirs = [d for d in os.listdir(VOICES_DIR) if os.path.isdir(os.path.join(VOICES_DIR, d))]
-    if subdirs and not any(f.endswith('.pt') for f in os.listdir(VOICES_DIR)):
-        # Voices are in a subdirectory
-        VOICES_DIR = os.path.join(VOICES_DIR, subdirs[0])
-        print(f"  -> Using subdirectory: {VOICES_DIR}")
+    # Check if voices are in a subdirectory (some tarballs have nested structure)
+    pt_files = [f for f in os.listdir(VOICES_DIR) if f.endswith('.pt')]
+    if not pt_files:
+        subdirs = [d for d in os.listdir(VOICES_DIR) if os.path.isdir(os.path.join(VOICES_DIR, d))]
+        if subdirs:
+            VOICES_DIR = os.path.join(VOICES_DIR, subdirs[0])
+            pt_files = [f for f in os.listdir(VOICES_DIR) if f.endswith('.pt')]
+    print(f"Voices directory: {VOICES_DIR} ({len(pt_files)} voice files)")
 
     # Load tokenizer
     TEXT_TOKENIZER = SentencePieceProcessor(TOKENIZER_PATH)
@@ -186,11 +180,10 @@ def generate_response(
     # Load voice prompt
     voice_file = VOICES.get(voice, "NATF2.pt")
     voice_path = os.path.join(VOICES_DIR, voice_file)
-    print(f"Loading voice prompt: {voice_path}")
     if not os.path.exists(voice_path):
-        # Try listing available voices for debugging
         available = [f for f in os.listdir(VOICES_DIR) if f.endswith('.pt')]
-        raise gr.Error(f"Voice file not found: {voice_file}. Available: {available}")
+        raise gr.Error(f"Voice '{voice_file}' not found. Available: {available}")
+    print(f"Voice: {voice_file}")
     lm_gen.load_voice_prompt_embeddings(voice_path)
 
     # Set text prompt (persona)