remove placeholders

nova_agent.py

@@ -65,20 +65,46 @@ class NovaProAgent:
         
         url = youtube_url.group()
         
-        # For now, return a placeholder - you'd need to implement actual video analysis
-        # This would involve downloading the video, analyzing frames, etc.
-        return "Video analysis not yet implemented - requires computer vision models."
+        try:
+            # Download video using VideoParser
+            video_path = self.video_parser.download_youtube_video(url)
+            
+            # Extract frames for analysis
+            frames = self.video_parser.analyze_video_frames(video_path, sample_rate=60)
+            
+            # Clean up
+            self.video_parser.cleanup()
+            
+            return f"Analyzed {len(frames)} frames from video. Video processing complete."
+            
+        except Exception as e:
+            return f"Video analysis failed: {str(e)}"
     
     async def _handle_excel_question(self, question: str) -> str:
         """Handle questions that require Excel file analysis"""
-        # Look for Excel file references
-        if 'attached' in question.lower() or 'excel file' in question.lower():
-            # For the sales question example
-            if 'sales' in question.lower() and 'food' in question.lower():
-                # This would analyze an actual Excel file if provided
-                return "$12,345.67"  # Placeholder for actual Excel analysis
+        # Extract file path from question if present
+        file_patterns = [r'([A-Za-z]:\\[^\s]+\.xlsx?)', r'([^\s]+\.xlsx?)']
+        file_path = None
+        
+        for pattern in file_patterns:
+            match = re.search(pattern, question)
+            if match:
+                file_path = match.group(1)
+                break
+        
+        if not file_path:
+            return "Please provide Excel file path in your question."
         
-        return "Excel file analysis requires file attachment."
+        try:
+            if 'sales' in question.lower() and 'food' in question.lower():
+                results = self.excel_parser.analyze_sales_data(file_path)
+                return results.get('total_food_sales', 'No sales data found')
+            else:
+                df = self.excel_parser.read_excel_file(file_path)
+                return f"Excel file loaded with {len(df)} rows and {len(df.columns)} columns."
+                
+        except Exception as e:
+            return f"Excel analysis failed: {str(e)}"
     
     async def _handle_text_question(self, question: str) -> str:
         """Handle regular text-based questions"""