Update app.py

app.py

@@ -385,7 +385,54 @@ def create_visualizations(detection_result):
     
     return fig_radar, fig_bar, fig_scores
 
+def analyze_website(url):
+    """Analyze website URL"""
+    if not url.strip():
+        return "Please enter a URL to analyze.", None, None, None, None
+    
+    # Scrape website
+    scraped_data = scrape_website(url)
+    
+    if 'error' in scraped_data:
+        return scraped_data['error'], None, None, None, None
+    
+    # Analyze the scraped text
+    detector = AIContentDetector()
+    detection_result = detector.get_detection_result(scraped_data['text'])
+    
+    if 'error' in detection_result:
+        return detection_result['error'], None, None, None, None
+    
+    # Create visualizations
+    fig_radar, fig_bar, fig_scores = create_visualizations(detection_result)
+    
+    # Format results
+    ai_prob = detection_result['ai_probability']
+    confidence = detection_result['confidence']
+    word_count = detection_result['word_count']
+    
+    # Create detailed analysis text
+    analysis = detection_result['detailed_analysis']
+    detailed_text = f"""
+    **Website:** {url}
+    **AI Probability:** {ai_prob:.1%}
+    **Confidence:** {confidence}
+    **Word Count:** {word_count}
+    
+    **Detailed Analysis:**
+    - Perplexity: {analysis['perplexity']:.2f}
+    - Burstiness: {analysis['burstiness']:.3f}
+    - Vocabulary Diversity: {analysis['vocabulary_diversity']['type_token_ratio']:.3f}
+    - Avg Sentence Length: {analysis['sentence_structure']['avg_sentence_length']:.1f}
+    - Flesch Reading Ease: {analysis['readability']['flesch_reading_ease']:.1f}
+    - Topic Consistency: {analysis['semantic_coherence']['topic_consistency']:.3f}
+    
+    **Sample Text:** {scraped_data['text'][:200]}...
+    """
+    
+    return detailed_text, fig_radar, fig_bar, fig_scores
 
+    
 def analyze_news_site(site_name):
     """Analyze pre-configured news sites"""
     news_sites = {