Update app.py

app.py

@@ -26,6 +26,8 @@ from forensics.minmax import minmax_process
 from forensics.ela import ELA
 from forensics.wavelet import noise_estimation
 from forensics.bitplane import bit_plane_extractor
+from forensics.ela_hybrid import generate_concatenated_hybrid
+
 from utils.hf_logger import log_inference_data
 from utils.load import load_image
 from agents.ensemble_team import EnsembleMonitorAgent, WeightOptimizationAgent, SystemHealthAgent
@@ -276,9 +278,15 @@ def full_prediction(img, confidence_threshold, rotate_degrees, noise_level, shar
         future_gradient2 = executor.submit(_run_forensic_task, gradient_processing, img_np_og, "Gradient processing: Int=45, Equalize=True", intensity=45, equalize=True)
         future_minmax1 = executor.submit(_run_forensic_task, minmax_process, img_np_og, "MinMax processing: Deviations in local pixel values.")
         future_minmax2 = executor.submit(_run_forensic_task, minmax_process, img_np_og, "MinMax processing (Radius=6): Deviations in local pixel values.", radius=6)
+        future_hybrid_ela = executor.submit(
+            _run_forensic_task, 
+            lambda img: generate_concatenated_hybrid(generate_ela_hybrid(img)), 
+            img_np_og, 
+            "Hybrid ELA (Horizontal Stack: RGB + Error Map)"
+        )
 
         forensic_futures = [future_ela1, future_ela2, future_ela3, future_gradient1, future_gradient2, future_minmax1, future_minmax2]
-        
+        forensic_futures.append(future_hybrid_ela)
         for future in concurrent.futures.as_completed(forensic_futures):
             processed_img, description = future.result()
             if processed_img is not None:
@@ -312,6 +320,7 @@ def full_prediction(img, confidence_threshold, rotate_degrees, noise_level, shar
         "Gradient processing: Int=45, Equalize=True",
         "MinMax processing: Deviations in local pixel values.",
         "MinMax processing (Radius=6): Deviations in local pixel values.",
+        "Hybrid ELA (Horizontal Stack: RGB + Error Map)",
         # "Bit Plane extractor: Visualization of individual bit planes from different color channels."
     ]
     detected_context_tags = context_agent.infer_context_tags(image_data_for_context, model_predictions_raw)