ss

README.md

@@ -17,7 +17,7 @@ This Hugging Face Space application provides two AI-powered features:
 
 1. **Music Genre Classification**: Upload a music file and get an analysis of its genre using the [dima806/music_genres_classification](https://huggingface.co/dima806/music_genres_classification) model.
 
-2. **Lyrics Generation**: Based on the detected genre, the app generates original lyrics using [Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) that match both the style of the genre and approximate length of the song.
+2. **Lyrics Generation**: Based on the detected genre, the app generates original lyrics using [Qwen/QwQ-32B](https://huggingface.co/Qwen/QwQ-32B) that match both the style of the genre and approximate length of the song.
 
 ## Features
 
@@ -44,4 +44,4 @@ This Hugging Face Space application provides two AI-powered features:
 ## Links
 
 - [Music Genre Classification Model](https://huggingface.co/dima806/music_genres_classification)
-- [Llama 3.1 8B Instruct Model](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct)
+- [Qwen QwQ-32B Model](https://huggingface.co/Qwen/QwQ-32B)

app.py

@@ -36,7 +36,7 @@ if "HF_TOKEN" in os.environ:
 # Constants
 GENRE_MODEL_NAME = "dima806/music_genres_classification"
 MUSIC_DETECTION_MODEL = "MIT/ast-finetuned-audioset-10-10-0.4593"
-LLM_MODEL_NAME = "Qwen/Qwen3-32B"
+LLM_MODEL_NAME = "Qwen/QwQ-32B"
 SAMPLE_RATE = 22050  # Standard sample rate for audio processing
 
 # Check CUDA availability (for informational purposes)
@@ -59,7 +59,7 @@ except Exception as e:
     genre_feature_extractor = None
 
 # Load LLM and tokenizer at initialization time
-print("Loading Qwen LLM model with 4-bit quantization...")
+print("Loading Qwen QwQ-32B model with 4-bit quantization...")
 try:
     # Configure 4-bit quantization for better performance
     quantization_config = BitsAndBytesConfig(