Create app.py

app.py

@@ -1,4 +1,4 @@
-# Add these imports at the very top of your file, before any other imports
+# Import necessary libraries
 import gradio as gr
 import spaces
 import torch
@@ -278,6 +278,7 @@ class TetherProAnalyzer:
             for msg_data in messages_data:
                 analysis = MessageAnalysis(
                     timestamp=msg_data.get('timestamp', datetime.now().isoformat()),
+                    message_id=msg_data.get('id', f"msg_{len(self.conversation_history
                     message_id=msg_data.get('id', f"msg_{len(self.conversation_history)}"),
                     text=msg_data.get('text', ''),
                     sender=msg_data.get('sender', 'unknown'),
@@ -370,7 +371,7 @@ class TetherProAnalyzer:
         df = df.sort_values('timestamp')
         return df
     
-    def _detect_escalation_trends(self, df: pd.DataFrame) -> Dict:
+    def _detect_escalation_t trends(self, df: pd.DataFrame) -> Dict:
         """Detect escalating abuse patterns over time"""
         if len(df) < 5:
             return {'detected': False, 'reason': 'insufficient_data'}
@@ -446,7 +447,7 @@ class TetherProAnalyzer:
             
             return {
                 'detected': True,
-                'cycle_count': min(len(peaks), len(valleys)),
+                'cycle_count': min(len(peaks, len(valleys))),
                 'avg_cycle_length_days': round(avg_cycle_length, 1),
                 'pattern_type': 'tension_escalation_reconciliation',
                 'confidence': min(len(peaks) / 3.0, 1.0),
@@ -574,6 +575,8 @@ class TetherProAnalyzer:
         
         # Day of week patterns
         if len(high_abuse) > 0:
+            day_counts = high_abuse['day_of_week'].value_counts()
+            weekend_abuse = len(high_abuse[
             day_counts = high_abuse['day_of_week'].value_counts()
             weekend_abuse = len(high_abuse[high_abuse['is_weekend']]) / len(high_abuse)
             
@@ -675,7 +678,7 @@ class TetherProAnalyzer:
         timestamps = []
         for msg in self.conversation_history:
             try:
-                timestamps.append(datetime.fromisoformat(msg.timestamp.replace('Z', '+00:00')))
+                timestamps.append(datetime.fromisoformat(msg.timestamp.replace('Z', '+00:00'))
             except:
                 continue
         
@@ -831,8 +834,8 @@ def analyze_temporal_patterns(messages_json: str):
 **Basic Statistics:**
 {json.dumps(results.get('basic_stats', {}), indent=2)}
 
-**Recommendations:**
-""" + '\n'.join([f"• {rec}" for rec in results.get('recommendations', [])])
+**Recommendations:"""
+            + '\n'.join([f"• {rec}" for rec in results.get('recommendations', [])])
             
             return summary, None, "Upload more conversation history for comprehensive temporal analysis."
         
@@ -889,6 +892,7 @@ def analyze_temporal_patterns(messages_json: str):
         combinations = results['temporal_analysis']['pattern_combinations']
         if combinations:
             for combo in combinations:
+                severity_emoji = "🚨" if combo['severity'] == 'critical
                 severity_emoji = "🚨" if combo['severity'] == 'critical' else "⚠️"
                 report += f"""
 **{severity_emoji} {combo['name']}**
@@ -994,8 +998,6 @@ def create_sample_data():
     
     return json.dumps(sample_data, indent=2)
 
-
-
 def create_tether_pro_interface():
     css = """
     .gradio-container {
@@ -1045,7 +1047,8 @@ def create_tether_pro_interface():
             outputs=input_json
         )
 
-    demo.launch()
+    return demo
 
 if __name__ == "__main__":
-    create_tether_pro_interface()
+    demo = create_tether_pro_interface()
+    demo.launch()