Update README.md

README.md

@@ -1,13 +1,31 @@
 ---
-title: WER
-emoji: 🌍
-colorFrom: pink
-colorTo: green
+title: WER Evaluation Tool
+emoji: 🎯
+colorFrom: blue
+colorTo: red
 sdk: streamlit
-sdk_version: 1.42.0
+sdk_version: 1.31.1
 app_file: app.py
 pinned: false
-short_description: A hugging-face space to calculate WER
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# WER Evaluation Tool
+
+This Streamlit app provides a user-friendly interface for calculating Word Error Rate (WER) and related metrics between reference and hypothesis texts. It's particularly useful for evaluating speech recognition or machine translation outputs.
+
+## Features
+
+- Calculate WER, MER, WIL, and WIP metrics
+- Text normalization options
+- Custom word filtering
+- Detailed error analysis
+- Example inputs for testing
+
+## How to Use
+
+1. Enter or paste your reference text
+2. Enter or paste your hypothesis text
+3. Configure options (normalization, word filtering)
+4. Click "Calculate WER" to see results
+
+## Local Development