Refactor: Use librosa instead of torchaudio, Add dedicated handlers for all use parameters and fix widget ordering

- Use librosa instead of torchaudio for mediaStorage
- Created dedicated toggle handlers for Image Inference, Video Inference, Upscaler, Audio Inference, Accelerator Options, Bytedance Provider Settings, and OpenAI Provider Settings
- Fixed Audio Inference widget ordering (use parameters now appear before their corresponding parameters)
- All handlers use the same proven pattern from videoInferenceDimensionsHandler
- Improved widget disabling/enabling functionality across all nodes

modules/utils/runwareUtils.py

@@ -192,12 +192,18 @@ def setMinImageCacheSize(size: int):
         os.environ["RUNWARE_MIN_IMAGE_CACHE_SIZE"] = str(size)
         return True
 
-def genRandSeed(minSeed=1000, maxSeed=9223372036854776000):
+def genRandSeed(minSeed=1, maxSeed=4294967295):
+    """Generate a random seed value (32-bit unsigned integer range for compatibility)"""
     return random.randint(minSeed, maxSeed)
 
 def genRandUUID():
     return str(uuid.uuid4())
 
+def getOrdinal(num):
+    """Get ordinal string for number (e.g., 1 -> 'first', 2 -> 'second')"""
+    ordinals = {1: "first", 2: "second", 3: "third", 4: "fourth"}
+    return ordinals.get(num, f"{num}th")
+
 def checkAPIKey(apiKey):
     headers = {
         "Accept": "application/json",