add readme

README.md

@@ -1,14 +1,30 @@
-# Spleeter 2-Stems Model with Transformers Integration
+---
+language:
+- en
+license: apache-2.0  # Example license. Adjust if needed.
+library_name: transformers  # Since the model integrates with Hugging Face Transformers
+tags:
+- audio
+- source-separation
+- music
+- spleeter
+datasets:
+- None  # Replace with dataset name if applicable
+metrics:
+- source-separation  # Adjust if there's a specific metric used
+base_model: None  # Not based on a pretrained model
 
-This repository contains a custom Spleeter-based model integrated with Hugging Face's Transformers library. It is designed for audio source separation (vocals and accompaniment).
-
-## Model Overview
-- **Model Type**: Spleeter (2-stem version)
-- **Purpose**: Separates an input audio file into two stems: vocals and accompaniment.
-- **Framework**: Integrated with Hugging Face Transformers.
-
-## Usage
-### Installation
-To use this model, ensure you have the required dependencies installed:
-```bash
-pip install spleeter transformers
+model-index:
+- name: Spleeter 2-Stems Transformer Integration
+  results:
+  - task:
+      type: audio-source-separation
+      name: Source Separation
+    dataset:
+      type: None  # Replace with dataset name if you used one
+      name: None  # Replace if a specific dataset was used
+    metrics:
+      - type: source-separation
+        value: N/A
+        name: Accuracy  # Replace with relevant metric name and value if applicable
+---