test

app.py

@@ -14,6 +14,7 @@ from dotenv import load_dotenv
 import concurrent.futures
 import ast
 import torch
+from gradio_log import Log
 
 from utils.utils import softmax, augment_image, preprocess_resize_256, preprocess_resize_224, postprocess_pipeline, postprocess_logits, postprocess_binary_output, to_float_scalar, infer_gradio_api, preprocess_gradio_api, postprocess_gradio_api
 from utils.onnx_helpers import preprocess_onnx_input, postprocess_onnx_output, infer_onnx_model
@@ -416,6 +417,7 @@ detection_model_eval_playground = gr.Interface(
         ),
         gr.JSON(label="Raw Model Results", visible=False),
         gr.Markdown(label="Consensus", value="")
+        Log(anomaly_detection_results, dark=True, xterm_font_size=12)
     ],
     title="Multi-Model Ensemble + Agentic Coordinated Deepfake Detection (Paper in Progress)",
     description="The detection of AI-generated images has entered a critical inflection point. While existing solutions struggle with outdated datasets and inflated claims, our approach prioritizes agility, community collaboration, and an offensive approach to deepfake detection.",