Update README.md

README.md

@@ -1,13 +1,37 @@
 ---
 title: Named Entity Recognition
-emoji: 🌍
+emoji: 🔍🏷️
 colorFrom: blue
 colorTo: yellow
 sdk: gradio
-sdk_version: 4.39.0
+sdk_version: 4.41.0
 app_file: app.py
 pinned: false
 license: afl-3.0
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Named Entity Recognition (NER) App
+
+This application provides a simple interface to perform Named Entity Recognition (NER) on text using a pre-trained model from Hugging Face's Transformers library. The model used under the hood is `dslim/bert-base-NER`, which is designed to identify entities such as names, locations, organizations, and more in a given text.
+
+## Features
+
+- **Named Entity Recognition**: Automatically identify and highlight entities within a given text.
+- **User-Friendly Interface**: Built using Gradio for an easy-to-use web interface.
+
+## Model
+
+- **Model Used**: [dslim/bert-base-NER](https://huggingface.co/dslim/bert-base-NER)
+- **Framework**: Hugging Face Transformers
+
+## Software Packages
+
+- **Gradio**: Used to create the web interface.
+- **Transformers**: Used for model inference.
+- **Spaces**: Utilized for GPU acceleration during model execution.
+
+## How to Use
+
+1. Enter the text you want to analyze in the "Text to find entities" textbox.
+2. Click "Submit" to perform Named Entity Recognition.
+3. The identified entities will be highlighted in the output box.