Update README.md

README.md

@@ -3,12 +3,15 @@ license: mit
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 A deep learning model for audio classification, designed to detect AI-generated music.
 
-    Model: EfficientNetB0 (Transfer Learning)
+Model architecture : EfficientNetB0 (Transfer Learning)
 
-    Framework: TensorFlow / Keras
+Framework: TensorFlow / Keras
 
-    Task: Binary Classification (AI Music vs. Real Music)
+Task: Binary Classification (AI Music vs. Real Music)
 
-    Input: Mel Spectrograms (224x224) generated from audio files.
+Input: Mel Spectrograms (224x224) generated from audio files.
 
-    Training Data: Trained on a balanced dataset of thousands of modern songs from sources like the Free Music Archive, NCS, and the Suno AI dataset on Kaggle, all standardized to a consistent bitrate.
+Training Data: Trained on a balanced dataset of thousands of 
+modern songs from sources like the Free Music Archive, NCS, 
+and the Suno AI dataset on Kaggle, all standardized to a 
+consistent bitrate.