feat: implement new app structure with enhanced ensemble prediction capabilities and integrate multiple models for image analysis
Browse files- README.md +1 -1
- app_test.py → app.py +0 -0
- app_mcp.py → app_mcp.old.py +0 -0
- utils/hf_logger.py +0 -6
README.md
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@@ -6,7 +6,7 @@ colorFrom: yellow
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colorTo: yellow
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sdk: gradio
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sdk_version: 5.33.0
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app_file:
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pinned: true
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models:
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- aiwithoutborders-xyz/OpenSight-CommunityForensics-Deepfake-ViT
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colorTo: yellow
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sdk: gradio
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sdk_version: 5.33.0
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+
app_file: app.py
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pinned: true
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models:
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- aiwithoutborders-xyz/OpenSight-CommunityForensics-Deepfake-ViT
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app_test.py → app.py
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File without changes
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app_mcp.py → app_mcp.old.py
RENAMED
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File without changes
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utils/hf_logger.py
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@@ -102,12 +102,6 @@ def log_inference_data(
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every=10 # Commit every 10 files
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)
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# Add the file to the scheduler
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scheduler.push_to_hub(
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path_or_fileobj=log_file_path,
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path_in_repo=f"logs/log_{timestamp_str}.json"
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)
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logger.info(f"Inference data logged successfully to local file: {log_file_path}")
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except Exception as e:
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every=10 # Commit every 10 files
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)
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logger.info(f"Inference data logged successfully to local file: {log_file_path}")
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except Exception as e:
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