Updated

sv.py

@@ -220,32 +220,11 @@ def generate_diarization(audio_path):
     if torch.cuda.is_available():
         pipeline.to(torch.device("cuda"))
 
-    # Set the correct path for the audio file
-    script_dir = os.path.dirname(os.path.abspath(__file__))
-    possible_paths = [
-        os.path.join(script_dir, "example", "mtr.mp3"),
-        os.path.join(script_dir, "..", "example", "mtr.mp3"),
-        os.path.join(script_dir, "mtr.mp3"),
-        "mtr.mp3",
-        audio_path,  # Add the provided audio_path to the list of possible paths
-    ]
+    # Use only the provided audio_path
+    file_path = audio_path
 
-    file_path = None
-    for path in possible_paths:
-        if os.path.exists(path):
-            file_path = path
-            break
-
-    if file_path is None:
-        print("Debugging information:")
-        print(f"Current working directory: {os.getcwd()}")
-        print(f"Script directory: {script_dir}")
-        print("Attempted paths:")
-        for path in possible_paths:
-            print(f"  {path}")
-        raise FileNotFoundError(
-            "Could not find the audio file. Please ensure it's in the correct location."
-        )
+    if not os.path.exists(file_path):
+        raise FileNotFoundError(f"Could not find the audio file at: {file_path}")
 
     print(f"Using audio file: {file_path}")