Update app.py

app.py

@@ -115,10 +115,8 @@ class TSZDetector:
             placeholder = config["placeholder"]
             
             for match in re.finditer(pattern, text, re.IGNORECASE):
-                # Avoid duplicate detections for overlapping patterns
                 value = match.group()
                 
-                # Skip if this looks like a false positive
                 if pii_type == "TC_KIMLIK" and len(value) != 11:
                     continue
                     
@@ -130,15 +128,12 @@ class TSZDetector:
                     confidence="HIGH" if len(value) > 8 else "MEDIUM"
                 ))
         
-        # Sort by position (reverse) for correct replacement
         detections.sort(key=lambda x: x.start, reverse=True)
         
-        # Redact in reverse order to maintain positions
         for det in detections:
             placeholder = self.PATTERNS[det.type]["placeholder"]
             redacted_text = redacted_text[:det.start] + placeholder + redacted_text[det.end:]
         
-        # Re-sort for display (by position, ascending)
         detections.sort(key=lambda x: x.start)
         
         return detections, redacted_text
@@ -152,22 +147,17 @@ detector = TSZDetector()
 def analyze_text(text: str) -> Tuple[str, str, str]:
     """
     Main analysis function for Gradio interface.
-    
-    Returns:
-        Tuple of (redacted_text, detection_report, stats)
     """
     if not text.strip():
-        return "", "⚠️ Please enter some text to analyze.", ""
+        return "", "Please enter some text to analyze.", ""
     
     detections, redacted_text = detector.detect(text)
     
     if not detections:
-        return text, "✅ No sensitive information detected.", "**0** PII entities found"
+        return text, "No sensitive information detected.", "**0** PII entities found"
     
-    # Build detection report
-    report_lines = ["### 🔍 Detected Entities\n"]
+    report_lines = ["### Detected Entities\n"]
     
-    # Group by type
     by_type = {}
     for det in detections:
         if det.type not in by_type:
@@ -182,110 +172,58 @@ def analyze_text(text: str) -> Tuple[str, str, str]:
             report_lines.append(f"- `{masked_value}` (confidence: {item.confidence})")
     
     report = "\n".join(report_lines)
-    
-    # Stats
     stats = f"**{len(detections)}** PII entities found across **{len(by_type)}** categories"
     
     return redacted_text, report, stats
 
-# Example texts for users to try
 EXAMPLES = [
-    ["""Hi, my name is John Smith and my email is john.smith@company.com. 
-You can reach me at +1-555-123-4567. My SSN is 123-45-6789."""],
-    
-    ["""Customer Order #12345
-Name: Jane Doe
-Email: jane.doe@example.org
-Phone: (555) 987-6543
-Credit Card: 4532015112830366
-Shipping Address: 123 Main St, New York, NY 10001"""],
-    
-    ["""API Configuration:
-api_key = "sk-1234567890abcdefghijklmnopqrstuvwxyz"
-AWS_ACCESS_KEY: AKIAIOSFODNN7EXAMPLE
-password: "super_secret_123"
-database_url: postgres://user:pass@192.168.1.100:5432/db"""],
-    
-    ["""Merhaba, ben Ahmet Yılmaz. TC Kimlik numaram 12345678901.
-Telefon: 0532 123 45 67
-IBAN: TR330006100519786457841326
-Email: ahmet.yilmaz@sirket.com.tr"""],
+    ["Hi, my name is John Smith and my email is john.smith@company.com. You can reach me at +1-555-123-4567. My SSN is 123-45-6789."],
+    ["Customer Order #12345\nName: Jane Doe\nEmail: jane.doe@example.org\nPhone: (555) 987-6543\nCredit Card: 4532015112830366"],
+    ["API Configuration:\napi_key = \"sk-1234567890abcdefghijklmnopqrstuvwxyz\"\nAWS_ACCESS_KEY: AKIAIOSFODNN7EXAMPLE\npassword: \"super_secret_123\""],
+    ["Merhaba, ben Ahmet Yilmaz. TC Kimlik numaram 12345678901.\nTelefon: 0532 123 45 67\nIBAN: TR330006100519786457841326"],
 ]
 
-# Custom CSS
-custom_css = """
-.gradio-container {
-    font-family: 'Inter', -apple-system, BlinkMacSystemFont, sans-serif;
-}
-.detection-box {
-    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-    border-radius: 12px;
-    padding: 20px;
-}
-footer {
-    visibility: hidden;
-}
-"""
-
-# Build the interface
-with gr.Blocks(css=custom_css, title="TSZ - Thyris Safe Zone Demo") as demo:
+with gr.Blocks(title="TSZ - Thyris Safe Zone Demo") as demo:
     
-    # Header
     gr.Markdown("""
-    # 🛡️ TSZ (Thyris Safe Zone) - Interactive Demo
+    # TSZ (Thyris Safe Zone) - Interactive Demo
     
     **TSZ** is an open-source PII detection and guardrails engine that prevents sensitive data 
-    from leaking to LLMs and third-party APIs. This demo showcases its core detection capabilities.
+    from leaking to LLMs and third-party APIs.
     
-    <div style="display: flex; gap: 10px; margin: 10px 0;">
-        <a href="https://github.com/thyrisAI/safe-zone" target="_blank">
-            <img src="https://img.shields.io/badge/GitHub-Repository-black?logo=github" alt="GitHub">
-        </a>
-        <a href="https://thyris.ai" target="_blank">
-            <img src="https://img.shields.io/badge/Website-thyris.ai-blue" alt="Website">
-        </a>
-        <a href="https://github.com/thyrisAI/safe-zone/blob/main/LICENSE" target="_blank">
-            <img src="https://img.shields.io/badge/License-Apache%202.0-green" alt="License">
-        </a>
-    </div>
+    [GitHub](https://github.com/thyrisAI/safe-zone) | [Website](https://thyris.ai) | Apache 2.0 License
     """)
     
     with gr.Row():
-        with gr.Column(scale=1):
-            # Input
+        with gr.Column():
             input_text = gr.Textbox(
-                label="📝 Input Text",
+                label="Input Text",
                 placeholder="Paste text containing emails, phone numbers, credit cards, API keys, passwords, etc...",
-                lines=10,
-                max_lines=20
+                lines=8
             )
             
-            analyze_btn = gr.Button("🔍 Analyze & Redact", variant="primary", size="lg")
+            analyze_btn = gr.Button("Analyze & Redact", variant="primary")
             
-            gr.Markdown("### 📋 Try These Examples")
+            gr.Markdown("### Try These Examples")
             gr.Examples(
                 examples=EXAMPLES,
-                inputs=input_text,
-                label=""
+                inputs=input_text
             )
         
-        with gr.Column(scale=1):
-            # Outputs
+        with gr.Column():
             stats_output = gr.Markdown(label="Statistics")
             
             redacted_output = gr.Textbox(
-                label="🔒 Redacted Output (Safe to send to LLMs)",
-                lines=10,
-                max_lines=20,
+                label="Redacted Output (Safe to send to LLMs)",
+                lines=8,
                 interactive=False
             )
             
             detection_report = gr.Markdown(label="Detection Report")
     
-    # Supported types info
     gr.Markdown("""
     ---
-    ### 🎯 Supported Detection Types
+    ### Supported Detection Types
     
     | Category | Types |
     |----------|-------|
@@ -295,33 +233,23 @@ with gr.Blocks(css=custom_css, title="TSZ - Thyris Safe Zone Demo") as demo:
     
     ---
     
-    ### 🚀 Get the Full Version
+    ### Get the Full Version
     
     This demo uses a simplified detection engine. The full **TSZ** includes:
+    - More comprehensive pattern matching with validators
+    - Configurable guardrails and policies  
+    - REST API with hot-reloadable rules
+    - High-performance Go implementation with Redis caching
     
-    - ✅ More comprehensive pattern matching with validators
-    - ✅ Configurable guardrails and policies
-    - ✅ Allowlist/blocklist management
-    - ✅ REST API with hot-reloadable rules
-    - ✅ High-performance Go implementation with Redis caching
-    - ✅ Docker deployment ready
-    
-    **Install TSZ:**
     ```bash
     git clone https://github.com/thyrisAI/safe-zone.git
     cd safe-zone
     docker-compose up -d
     ```
     
-    ---
-    
-    <p style="text-align: center; color: #666;">
-        Built with ❤️ by <a href="https://thyris.ai" target="_blank">Thyris.AI</a> | 
-        Licensed under Apache 2.0
-    </p>
+    Built by [Thyris.AI](https://thyris.ai)
     """)
     
-    # Event handlers
     analyze_btn.click(
         fn=analyze_text,
         inputs=[input_text],
@@ -334,6 +262,5 @@ with gr.Blocks(css=custom_css, title="TSZ - Thyris Safe Zone Demo") as demo:
         outputs=[redacted_output, detection_report, stats_output]
     )
 
-# Launch
 if __name__ == "__main__":
     demo.launch()