FILES_TO_PUSH.md

VeriDex Release - Files to Push Manifest

This file provides a comprehensive list of all files that have been staged in the VeriDex_Release directory and will be pushed to GitHub. Heavy binaries (>100MB) have been deliberately excluded and ignored via .gitignore to comply with GitHub restrictions.

Root Configuration & Docs

• README.md: System documentation, architecture summary, and instructions.
• .gitignore: Git exclusion rules for __pycache__, .env, and heavy .bin/.pth/.safetensors files.
• requirements.txt: Python package dependencies.
• FILES_TO_PUSH.md: This manifest file.

Web Application (VeriDex_WebApp/)

• app.py: FastAPI server handling multimodal inference logic and API routing.
• .env.example: Template for environment variables (Tavily API key sanitized).
• static/index.html: Glassmorphism frontend UI layout.
• static/style.css: UI stylesheets and animations.
• static/script.js: Frontend logic for interacting with the backend API.

Models Configuration (models/)

Note: Model weight binaries are excluded. Only structures, lightweight heads, and tokenizers are pushed.

• fakeNewsModel/:
  • config.json, special_tokens_map.json, tokenizer_config.json, vocab.json, merges.txt
  • fake_news_bert_detection.ipynb
• stanceModel/:
  • config.json, added_tokens.json, special_tokens_map.json, tokenizer.json, tokenizer_config.json
  • spm.model
  • classifier_head.pt (Lightweight head - safe to push)
  • stance_detection_v4_full_run.ipynb
• imageDetectionModel/:
  • config.json, results.json
  • model_architecture.py

Execution & Evaluation Pipelines (pipelines_and_evaluations/)

• evaluate_hybrid_pipeline.py, advanced_evaluation_pipeline.py, test_hybrid_system.py
• evaluate_baselines.py, evaluate_fake_news.py, evaluate_fake_news_v2.py
• evaluate_stance.py, evaluate_stance_v2.py, comprehensive_grid_search.py
• create_fake_dataset.py, kaggle_baseline_evaluation.py
• simulate_ablation_study.py, generate_*.py (Visualization generation scripts)
• run_both.py, run_both.ps1, run_veridex.bat

Additional Evaluation & Analytics

• Defense_Evaluation_Scripts/: Adversarial robustness scripts and metric logs (.txt, .json).
• Progressive_Evaluation/: Incremental testing scripts and datasets (test_claims_dataset.csv).
• Ablation_Visuals/: Output visualizations, ROC curves, radar charts, and confusion matrices.
• metrics/: JSON and CSV files containing benchmark evaluations.
• docs/: Final_Project_Report_Draft.md, Proposed_Pipeline_Architecture.md, Sample_Test_Statements.md, dataset_comparison_insights.txt.