Merge branch 'main' of https://huggingface.co/spaces/aiwithoutborders-xyz/OpenSight-Deepfake-Detection-Models-Playground into main

app.py

@@ -448,7 +448,7 @@ with gr.Blocks() as detection_model_eval_playground:
             gallery = gr.Gallery(label="Post Processed Images", visible=True, columns=[4], rows=[2], container=False, height="auto", object_fit="contain", elem_id="post-gallery")
             raw_json = gr.JSON(label="Raw Model Results", visible=False)
             consensus_md = gr.Markdown(label="Consensus", value="")
-    with gr.Accordion("Agent Logs", open=False, elem_id="agent-logs-accordion"):
+    with gr.Accordion("Agent Logs", open=True, elem_id="agent-logs-accordion"):
         with gr.Row():
             with gr.Column():
                 context_intelligence_log = Log(label="Context Log", dark=True, xterm_font_size=12, log_file=AGENT_LOG_FILES["context_intelligence"], tail=40)
@@ -665,12 +665,7 @@ demo = detection_model_eval_playground
 footerMD = """
 ## ⚠️ ENSEMBLE TEAM IN TRAINING ⚠️ \n\n
 
-1. **DISCLAIMER: METADATA AS WELL AS MEDIA SUBMITTED TO THIS SPACE MAY BE VIEWED AND SELECTED FOR FUTURE DATASETS, PLEASE DO NOT SUBMIT PERSONAL CONTENT. FOR UNTRACKED, PRIVATE USE OF THE MODELS YOU MAY STILL USE [THE ORIGINAL SPACE HERE](https://huggingface.co/spaces/aiwithoutborders-xyz/OpenSight-Deepfake-Detection-Models-Playground), SOTA MODEL INCLUDED.**
-2. **UPDATE 6-13-25**: APOLOGIES FOR THE CONFUSION, WE ARE WORKING TO REVERT THE ORIGINAL REPO BACK TO ITS NON-DATA COLLECTION STATE -- ONLY THE "SIMPLE PREDICTION" ENDPOINT IS CURRENTLY 100% PRIVATE. PLEASE STAY TUNED AS WE FIGURE OUT A SOLUTION FOR THE ENSEMBLE + AGENT TEAM ENDPOINT. IT CAN GET RESOURCE INTENSIVE TO RUN A FULL PREDICTION. ALTERNATIVELY, WE **ENCOURAGE** ANYONE TO FORK AND CONTRIBUTE TO THE PROJECT.
-3. **UPDATE 6-13-25 (cont.)**: WHILE WE HAVE NOT TAKEN A STANCE ON NSFW AND EXPLICIT CONTENT, PLEASE REFRAIN FROM ... YOUR HUMAN DESIRES UNTIL WE GET THIS PRIVACY SITUATION SORTED OUT. DO NOT BE RECKLESS PLEASE. OUR PAPER WILL BE OUT SOON ON ARXIV WHICH WILL EXPLAIN EVERYTHING WITH DATA-BACKED RESEARCH ON WHY THIS PROJECT IS NEEDED, BUT WE CANNOT DO IT WITHOUT THE HELP OF THE COMMUNITY.
-
-TO SUMMARIZE: DATASET COLLECTION WILL CONTINUE FOR OUR NOVEL ENSEMBLE-TEAM PREDICTION PIPELINE UNTIL WE CAN GET THINGS SORTED OUT. FOR THOSE THAT WISH TO OPT-OUT, WE OFFER THE SIMPLE, BUT [MOST POWERFUL DETECTION MODEL HERE.](https://huggingface.co/spaces/aiwithoutborders-xyz/OpenSight-Community-Forensics-Preview)
-
+**DISCLAIMER: METADATA AS WELL AS MEDIA SUBMITTED TO THIS SPACE MAY BE VIEWED AND SELECTED FOR FUTURE DATASETS, PLEASE DO NOT SUBMIT PERSONAL CONTENT. FOR UNTRACKED, PRIVATE USE OF THE MODELS YOU MAY STILL USE [THE ORIGINAL SPACE HERE](https://huggingface.co/spaces/aiwithoutborders-xyz/OpenSight-Deepfake-Detection-Models-Playground), SOTA MODEL INCLUDED.**
 """
 footer = gr.Markdown(footerMD, elem_classes="footer")
 
@@ -680,4 +675,5 @@ with gr.Blocks() as app:
     footer.render()
     
 
+app.queue(max_size=10, default_concurrency_limit=1).launch()
 app.queue(max_size=10, default_concurrency_limit=1).launch(mcp_server=True)