SharonSilva/Multimodal-Deception-Framework-for-Fake-News-Detection

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Grade	Name	Complexity	Churn	Issues
F	multimodal_fakenews_model.py	41	2	28
F	safe_script.py	34	1	13
F	requirements.txt		15	6
F	train_het_gnn.py	0	2	59
F	final_gnn_explainability.py	3	2	66
F	inference_post_patterns.py	167	1	13
F	app.py	155	9	339
D	build_het_graph.py	6	2	19
D	create_anomaly_assignment.py	5	3	23
C	explainability.py	40	1	10
C	Dockerfile		22	3
B	inference_pipeline_new_post.py	65	1	10
B	Emotion_Gated_Explainability.py	41	1	5
B	contradiction_explainability.py	24	1	8
A	download_models.py		1	3
A	analyze_dected_posts.py		1	2
A	download_models_hf.py	15	3	2
A	emotion_aware_weights.py		1	-
A	ablation_analysis..py	10	1	6
A	anomaly_detection.py		1	1