Update README.md

README.md

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-# JusticeAI – Criminal Record Analyzer
-
----
-title: JusticeAI Analyzer
-emoji: ⚖️
-colorFrom: indigo
-colorTo: blue
-sdk: gradio
-sdk_version: 3.44.4
-app_file: main.py
-pinned: false
----
-
-
-
-JusticeAI is an AI-powered legal assistant designed to analyze and summarize criminal case records. It extracts key information such as names, crimes, locations, and judgments, then provides legal insights including applicable laws and recommended punishments based on Nigerian criminal law.
-
-## What It Does
-
-- Accepts pasted or uploaded criminal case text
-- Automatically summarizes long legal reports
-- Extracts named entities such as people, dates, crimes, courts, and locations
-- Classifies crime type based on Nigerian law
-- Recommends appropriate punishment according to legal sections
-
-## Technologies Used
-
-- Python
-- Hugging Face Transformers (`transformers`, `pipeline`)
-- PyTorch
-- Gradio (UI interface)
-
-## Getting Started
-
-To run locally:
-
-1. Clone the repository or upload files to your Hugging Face Space.
-2. Install dependencies:
-   ```bash
+---
+license: mit
+title: JusticeAI Analyzer
+sdk: gradio
+emoji: ⚖️
+colorFrom: indigo
+colorTo: blue
+sdk_version: 3.44.4
+app_file: main.py
+pinned: false
+---
+# JusticeAI – Criminal Record Analyzer
+
+
+
+JusticeAI is an AI-powered legal assistant designed to analyze and summarize criminal case records. It extracts key information such as names, crimes, locations, and judgments, then provides legal insights including applicable laws and recommended punishments based on Nigerian criminal law.
+
+## What It Does
+
+- Accepts pasted or uploaded criminal case text
+- Automatically summarizes long legal reports
+- Extracts named entities such as people, dates, crimes, courts, and locations
+- Classifies crime type based on Nigerian law
+- Recommends appropriate punishment according to legal sections
+
+## Technologies Used
+
+- Python
+- Hugging Face Transformers (`transformers`, `pipeline`)
+- PyTorch
+- Gradio (UI interface)
+
+## Getting Started
+
+To run locally:
+
+1. Clone the repository or upload files to your Hugging Face Space.
+2. Install dependencies:
+   ```bash
    pip install -r requirements.txt