Update README.md

README.md

@@ -1,14 +1,47 @@
 ---
-title: NER Persian LLM Based
-emoji: 📊
-colorFrom: gray
-colorTo: gray
+title: Persian NER
+colorFrom: green
+colorTo: blue
 sdk: gradio
-sdk_version: 5.49.1
+sdk_version: 4.44.0
 app_file: app.py
 pinned: false
-license: mit
-short_description: Zero-shot Persian Named Entity Recognition using an instruct
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Persian Named Entity Recognition (NER)
+
+This space performs Named Entity Recognition on Persian (Farsi) text using the ParsBERT model.
+
+## Features
+- Identifies person names, organizations, locations, dates, times, money, and percentages
+- Highlights entities with color-coding
+- Runs on CPU (no GPU required)
+- Provides confidence scores for each detected entity
+
+## Model
+- **Model**: HooshvareLab/bert-base-parsbert-ner-uncased
+- **Framework**: Transformers + PyTorch
+- **Language**: Persian (Farsi)
+
+## Usage
+Simply enter Persian text in the input box and click "Analyze Text" to see the detected entities highlighted in the text.
+
+## Entity Types
+- **PER** (شخص): Person names
+- **ORG** (سازمان): Organizations
+- **LOC** (مکان): Locations
+- **DAT** (تاریخ): Dates
+- **TIM** (زمان): Times
+- **MON** (پول): Money amounts
+- **PCT** (درصد): Percentages
+
+## Citation
+```bibtex
+@article{ParsBERT,
+  title={ParsBERT: Transformer-based Model for Persian Language Understanding},
+  author={Mehrdad Farahani, Mohammad Gharachorloo, Marzieh Farahani, Mohammad Manthouri},
+  journal={ArXiv},
+  year={2020},
+  volume={abs/2005.12515}
+}
+```