Upload 5 files
Browse files- login.py +4 -0
- requirements.txt +42 -0
- test_app_portability.py +78 -0
- upload_models.py +74 -0
- verify_gun_detector.py +13 -0
login.py
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from huggingface_hub import login
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# Terminal-friendly login
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login()
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requirements.txt
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# AI & Computer Vision
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torch>=2.0.0
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torchvision>=0.15.0
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ultralytics>=8.0.0
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opencv-python>=4.8.0
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numpy>=1.24.0
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pillow>=10.0.0
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pandas>=2.0.0
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scikit-learn>=1.3.0
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# Backend Framework
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fastapi>=0.104.0
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uvicorn[standard]>=0.24.0
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python-multipart>=0.0.6
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websockets>=12.0
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# Database
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sqlalchemy>=2.0.0
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psycopg2-binary>=2.9.0
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alembic>=1.12.0
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# Alert Services
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twilio>=8.10.0
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python-dotenv>=1.0.0
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# Utilities
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pydantic>=2.0.0
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python-jose[cryptography]>=3.3.0
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passlib[bcrypt]>=1.7.4
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aiofiles>=23.2.1
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# Model Management
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huggingface-hub>=0.16.0
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# =======
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torch
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ultralytics
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opencv-python
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numpy
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pandas
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fastapi
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uvicorn
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scikit-learn
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test_app_portability.py
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"""
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Test script to verify app.py portability logic
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Simulates app.py being in different locations
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"""
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from pathlib import Path
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import sys
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def test_portability_logic(app_location):
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"""Test the portability logic as if app.py was at app_location"""
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# Simulate app.py's __file__ being at app_location
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print(f"\nπ Testing with app.py at: {app_location}")
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print("-" * 60)
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# This is the exact logic from app.py
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webapp_parent = app_location.parent.parent
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if (webapp_parent / 'config').exists():
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PROJECT_ROOT = webapp_parent
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location_type = "Original location (webapp/)"
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else:
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# app.py was moved - find project root by searching for config/
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PROJECT_ROOT = app_location.parent
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while PROJECT_ROOT != PROJECT_ROOT.parent: # Until root of filesystem
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if (PROJECT_ROOT / 'config').exists() and (PROJECT_ROOT / 'src').exists():
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break
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PROJECT_ROOT = PROJECT_ROOT.parent
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location_type = "Moved location (outside webapp/)"
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# Determine webapp folder (for templates/static/uploads)
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WEBAPP_FOLDER = PROJECT_ROOT / 'webapp'
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# Print results
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print(f"Location type: {location_type}")
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print(f"PROJECT_ROOT: {PROJECT_ROOT}")
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print(f"WEBAPP_FOLDER: {WEBAPP_FOLDER}")
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# Verify all required folders exist
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required_folders = ['config', 'src', 'webapp', 'ai_models', 'docs']
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all_exist = True
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print(f"\nRequired folders check:")
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for folder in required_folders:
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exists = (PROJECT_ROOT / folder).exists()
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status = "β" if exists else "β"
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print(f" {status} {folder}")
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all_exist = all_exist and exists
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# Check template and static folders
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print(f"\nFlask folders check:")
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templates_exist = (WEBAPP_FOLDER / 'templates').exists()
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static_exist = (WEBAPP_FOLDER / 'static').exists()
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print(f" {'β' if templates_exist else 'β'} templates/")
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print(f" {'β' if static_exist else 'β'} static/")
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return all_exist and templates_exist and static_exist
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# Test 1: Original location (webapp/app.py)
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project_root = Path(__file__).parent
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result1 = test_portability_logic(project_root / 'webapp' / 'app.py')
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# Test 2: Moved to project root (app.py)
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result2 = test_portability_logic(project_root / 'app.py')
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# Test 3: Moved to src (src/app.py)
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result3 = test_portability_logic(project_root / 'src' / 'app.py')
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# Summary
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print("\n" + "=" * 60)
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print("PORTABILITY TEST SUMMARY")
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print("=" * 60)
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print(f"β Original location (webapp/app.py): {'PASS' if result1 else 'FAIL'}")
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print(f"{'β' if result2 else 'β'} Moved to root (app.py): {'PASS' if result2 else 'FAIL'}")
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print(f"{'β' if result3 else 'β'} Moved to src (src/app.py): {'PASS' if result3 else 'FAIL'}")
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if result1 and result2 and result3:
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print("\nβ
app.py IS PORTABLE - Can be used anywhere in the project!")
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else:
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print("\nβ app.py is NOT fully portable")
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upload_models.py
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from huggingface_hub import HfApi
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from pathlib import Path
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import os
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api = HfApi()
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repo_id = "itsluckysharma01/NETRA-Models"
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print("π Creating repository on Hugging Face Hub...")
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try:
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api.create_repo(repo_id=repo_id, repo_type="model", exist_ok=True)
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print("β
Repository ready!\n")
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except Exception as e:
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print(f"Error: {e}\n")
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# Upload individual models with timeout and retry
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models_dir = Path("ai_models")
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def upload_with_retry(file_path, max_retries=3):
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"""Upload a file with retry logic"""
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for attempt in range(max_retries):
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try:
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print(f"π€ Uploading: {file_path} (Attempt {attempt+1}/{max_retries})")
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api.upload_file(
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path_or_fileobj=str(file_path),
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path_in_repo=str(file_path),
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repo_id=repo_id,
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repo_type="model",
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commit_message=f"Upload {file_path.name}"
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)
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print(f"β
Success: {file_path}\n")
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return True
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except Exception as e:
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if attempt < max_retries - 1:
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print(f"β οΈ Attempt {attempt+1} failed: {str(e)[:100]}")
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print(f" Retrying...\n")
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else:
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print(f"β Failed after {max_retries} attempts: {file_path}\n")
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return False
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# Upload main models
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main_models = [
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"ai_models/activity_recognition/violence_model.h5",
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"ai_models/object_detection/yolov8n.pt",
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"ai_models/pose_detection/yolo11n-pose.pt",
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"ai_models/weapon_detection/best.pt",
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]
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print("=" * 60)
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print("UPLOADING MAIN MODELS")
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print("=" * 60 + "\n")
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for model in main_models:
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if os.path.exists(model):
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upload_with_retry(model)
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else:
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print(f"β File not found: {model}\n")
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# Upload analysis models folder (one file at a time)
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print("=" * 60)
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print("UPLOADING ANALYSIS MODELS")
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print("=" * 60 + "\n")
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analysis_dir = Path("ai_models/analysis_models")
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if analysis_dir.exists():
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for model_file in analysis_dir.glob("**/*"):
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if model_file.is_file():
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upload_with_retry(model_file)
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else:
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print(f"β Directory not found: {analysis_dir}\n")
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print("\n" + "=" * 60)
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print("π UPLOAD PROCESS COMPLETE!")
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print("=" * 60)
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print(f"π View your models: https://huggingface.co/{repo_id}")
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verify_gun_detector.py
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"""Verify GunDetector.pt is prioritized"""
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from config import get_model_path
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weapon_gun_path = get_model_path('weapon', 'gun')
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print("=== WEAPON MODEL CHECK ===\n")
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print(f"Primary weapon model: {weapon_gun_path}")
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print(f"Using GunDetector.pt: {'β YES' if 'GunDetector' in str(weapon_gun_path) else 'β NO'}")
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print(f"File exists: {weapon_gun_path.exists() if weapon_gun_path else False}\n")
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if 'GunDetector' in str(weapon_gun_path):
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print("β
GunDetector.pt is now the primary weapon model!")
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else:
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print("β Still using best.pt")
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