refactor: still in progress

- Moved the debug JSON output into the accordion for better organization in the UI.
- Added `tf-keras` to requirements.txt to support TensorFlow Keras functionalities.

app_mcp.py

@@ -20,7 +20,7 @@ from forensics.registry import register_model, MODEL_REGISTRY, ModelEntry
 
 
 # Configure logging
-logging.basicConfig(level=logging.INFO)
+logging.basicConfig(level=logging.DEBUG)
 logger = logging.getLogger(__name__)
 
 
@@ -304,10 +304,8 @@ with gr.Blocks(css="#post-gallery { overflow: hidden !important;} .grid-wrap{ ov
                             datatype=["str", "str", "number", "number", "str"]
                         )
                         forensics_gallery = gr.Gallery(label="Post Processed Images", visible=True, columns=[4], rows=[2], container=False, height="auto", object_fit="contain", elem_id="post-gallery")
-                        debug_json = gr.JSON(label="Raw Model Results")
-                        debug_accordion = gr.Accordion("Debug Output (Raw JSON)", open=False)
-                        with debug_accordion:
-                            debug_json.render()
+                        with gr.Accordion("Debug Output (Raw JSON)", open=False):
+                            debug_json = gr.JSON(label="Raw Model Results")
 
                         outputs = [image_output, forensics_gallery, results_table, debug_json]
                 

requirements.txt

@@ -9,3 +9,4 @@ pillow
 opencv-python
 modelscope_studio
 pydantic==2.10.6
+tf-keras