Update README.md

README.md

@@ -1,6 +1,6 @@
 ---
 title: Precision Legal Intelligence AdeemAlotaibi
-emoji: 🐨
+emoji: ⚖️
 colorFrom: gray
 colorTo: red
 sdk: docker
@@ -14,20 +14,20 @@ LEX is an AI-powered legal analysis system designed to bridge the "Access to Jus
 LEX utilizes an AISA (Agentic Interactive System Architecture) workflow that runs 6 specialized agents across 4 logical phases. To ensure a professional and responsive user experience, the system employs Python's ThreadPoolExecutor to reduce processing time from ~20 seconds to just 10–12 seconds.
 
 ## 🚀 Setup & Installation
-- Prerequisites
+- **Prerequisites**
 Python 3.9+
 OpenAI API Key (Optimized for gpt-4o-mini) 
 Required Libraries: pydantic, faiss-cpu, sqlite3, concurrent.futures
 
-- Installation
-Clone the repository:
+- **Installation**
+**Clone the repository:**
 Bash: git clone https://huggingface.co/spaces/AISA-Framework/LEX-AdeemAlotaibi
 cd LEX-AdeemAlotaibi
 
-Install dependencies:
+**Install dependencies:**
 Bash: pip install -r requirements.txt
 
-Configure Environment:
+**Configure Environment:**
 Set AISA_DETERMINISTIC=1 for reproducible test results
 
 
@@ -37,30 +37,30 @@ Set AISA_DETERMINISTIC=1 for reproducible test results
 LEX is designed to be intuitive for users facing legal stress.The system processes messy, real-world text and converts it into a structured legal analysis.
 
 ### 1. Inputting a Case
-[cite_start]Users can input their legal situation in the text area (up to 8,000 characters).This can include:
-* [cite_start]**Narratives:** Describing a dispute or situation in plain language.
-* [cite_start]**Document Text:** Pasting the content of a termination notice, contract clause, or court judgment. 
-* [cite_start]**Multilingual Input:** Input can be in Arabic or English; the system is robust enough to categorize and analyze both. 
+Users can input their legal situation in the text area (up to 8,000 characters).This can include:
+* **Narratives:** Describing a dispute or situation in plain language.
+* **Document Text:** Pasting the content of a termination notice, contract clause, or court judgment. 
+* **Multilingual Input:** Input can be in Arabic or English; the system is robust enough to categorize and analyze both. 
 
 ### 2. The Analysis Process
-[cite_start]Once submitted, the system triggers the **AISA Workflow**: [cite: 11]
-* [cite_start]**Instant Identification:** The system immediately identifies the "Intent" (e.g., is this a notice, a contract, or a judgment?). [cite: 30, 32]
-* [cite_start]**Plain Language Explanation:** It translates complex legal jargon into an easy-to-understand summary using the RAG tool. [cite: 33, 54]
-* **Automated Quality Check:** The Critic Agent reviews the analysis. [cite_start]If it misses a key legal point (like a specific 90-day notice rule), it automatically re-runs the logic to ensure accuracy. [cite: 37, 49]
+Once submitted, the system triggers the **AISA Workflow**: 
+* **Instant Identification:** The system immediately identifies the "Intent" (e.g., is this a notice, a contract, or a judgment?). 
+* **Plain Language Explanation:** It translates complex legal jargon into an easy-to-understand summary using the RAG tool. 
+* **Automated Quality Check:** The Critic Agent reviews the analysis. If it misses a key legal point (like a specific 90-day notice rule), it automatically re-runs the logic to ensure accuracy. 
 
 ### 3. Understanding the Output
-[cite_start]The user receives an **Analysis Report** containing: [cite: 71, 75]
-* [cite_start]**Summary:** A clear explanation of "what is happening." [cite: 34]
-* [cite_start]**Risk Assessment:** A visual indicator of the risk level (Low, Medium, or High). [cite: 40, 68]
-* [cite_start]**Action Plan:** Targeted next steps (e.g., "mentions notice period violation" or "first action step urgency=high"). [cite: 39, 68]
-* [cite_start]**Key Points:** Critical legal facts detected by the Reasoning Agent. [cite: 66, 68]
-
+The user receives an **Analysis Report** containing:
+* **Summary:** A clear explanation of "what is happening."
+* **Risk Assessment:** A visual indicator of the risk level (Low, Medium, or High). 
+* **Action Plan:** Targeted next steps (e.g., "mentions notice period violation" or "first action step urgency=high"). 
+* **Key Points:** Critical legal facts detected by the Reasoning Agent.
+  
 ### 4. Example Scenarios
 | Scenario | Expected Output |
 | :--- | :--- |
-| **Landlord Notice** | [cite_start]Intent: `Notice`, Risk: `Medium`, Action: Notice period validation. [cite: 68] |
-| **Salary Reduction** | [cite_start]Intent: `Contract`, Risk: `Medium`, Action: Wage violation check. [cite: 68] |
-| **Court Judgment** | [cite_start]Intent: `Judgment`, Risk: `High`, Action: Urgent payment/appeal steps. [cite: 68] |
+| **Landlord Notice** | Intent: `Notice`, Risk: `Medium`, Action: Notice period validation. |
+| **Salary Reduction** | Intent: `Contract`, Risk: `Medium`, Action: Wage violation check. |
+| **Court Judgment** | Intent: `Judgment`, Risk: `High`, Action: Urgent payment/appeal steps. |
 
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference