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Runtime error
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Commit
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82e63cc
1
Parent(s):
e2101d4
good morning: small ui change
Browse files- .gitignore +1 -0
- app_mcp.py +13 -3
- requirements.txt +2 -2
.gitignore
CHANGED
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@@ -5,3 +5,4 @@
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./models/*
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forensics/__pycache__/*
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*.cpython-311.pyc
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./models/*
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forensics/__pycache__/*
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*.cpython-311.pyc
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test.ipynb
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app_mcp.py
CHANGED
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@@ -237,7 +237,15 @@ def predict_image(img, confidence_threshold):
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results = [infer(img, model_id, confidence_threshold) for model_id in model_ids]
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return img, results
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-
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def predict_image_with_json(img, confidence_threshold, augment_methods, rotate_degrees, noise_level, sharpen_strength):
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if augment_methods:
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@@ -268,7 +276,8 @@ def predict_image_with_json(img, confidence_threshold, augment_methods, rotate_d
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r.get("Real Score", ""),
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r.get("Label", "")
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] for r in results]
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-
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with gr.Blocks(css="#post-gallery { overflow: hidden !important;} .grid-wrap{ overflow-y: hidden !important;} .ms-gr-ant-welcome-icon{ height:unset !important;} .tabs{margin-top:10px;}") as demo:
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with ms.Application() as app:
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@@ -306,8 +315,9 @@ with gr.Blocks(css="#post-gallery { overflow: hidden !important;} .grid-wrap{ ov
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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")
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with gr.Accordion("Debug Output (Raw JSON)", open=False):
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debug_json = gr.JSON(label="Raw Model Results")
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outputs = [image_output, forensics_gallery, results_table, debug_json]
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# Show/hide rotate slider based on selected augmentation method
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augment_checkboxgroup.change(lambda methods: gr.update(visible="rotate" in methods), inputs=[augment_checkboxgroup], outputs=[rotate_slider])
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results = [infer(img, model_id, confidence_threshold) for model_id in model_ids]
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return img, results
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def get_consensus_label(results):
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labels = [r[4] for r in results if len(r) > 4]
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if not labels:
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return "No results"
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consensus = max(set(labels), key=labels.count)
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color = {"AI": "red", "REAL": "green", "UNCERTAIN": "orange"}.get(consensus, "gray")
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return f"<b><span style='color:{color}'>{consensus}</span></b>"
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# Update predict_image_with_json to return consensus label
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def predict_image_with_json(img, confidence_threshold, augment_methods, rotate_degrees, noise_level, sharpen_strength):
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if augment_methods:
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r.get("Real Score", ""),
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r.get("Label", "")
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] for r in results]
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consensus = get_consensus_label(table_rows)
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return img_pil, forensics_images, table_rows, results, consensus
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with gr.Blocks(css="#post-gallery { overflow: hidden !important;} .grid-wrap{ overflow-y: hidden !important;} .ms-gr-ant-welcome-icon{ height:unset !important;} .tabs{margin-top:10px;}") as demo:
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with ms.Application() as app:
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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")
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with gr.Accordion("Debug Output (Raw JSON)", open=False):
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debug_json = gr.JSON(label="Raw Model Results")
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consensus_md = gr.Markdown(label="Consensus", value="")
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outputs = [image_output, forensics_gallery, results_table, debug_json, consensus_md]
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# Show/hide rotate slider based on selected augmentation method
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augment_checkboxgroup.change(lambda methods: gr.update(visible="rotate" in methods), inputs=[augment_checkboxgroup], outputs=[rotate_slider])
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requirements.txt
CHANGED
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@@ -1,7 +1,7 @@
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gradio
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gradio_leaderboard
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transformers
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huggingface_hub
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torchvision
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torch
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spaces
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gradio[mcp]
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gradio_leaderboard
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transformers
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huggingface_hub[xet]
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torchvision
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torch
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spaces
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