Add license, pipeline tag, and library name metadata

This PR updates the model card by adding essential metadata:
- The `license: apache-2.0` for proper attribution and legal clarity, verified via the linked PyPI project page.
- The `pipeline_tag: audio-to-audio` to correctly categorize the model and improve discoverability on the Hugging Face Hub.
- The `library_name: dualcodec`, as evidenced by the programmatic usage shown in the README (e.g., `import dualcodec`), enabling automated code snippets on the Hub.

README.md

@@ -1,4 +1,8 @@
-
+---
+license: apache-2.0
+pipeline_tag: audio-to-audio
+library_name: dualcodec
+---
 
 # DualCodec: A Low-Frame-Rate, Semantically-Enhanced Neural Audio Codec for Speech Generation
 
@@ -194,7 +198,10 @@ data.segment_speech.segment_length=24000
 
 ```
 
+Below are example training loss curves for a DualCodec 25hz model:
 
+![Training Loss Curve 1](losscurve1.png)
+![Training Loss Curve 2](losscurve2.png)
 
 ## Finetuning DualCodec
 1. Install other necessary components for training: