3fec052c12
Organized the application into separate frontend and backend directories for cleaner deployment and better separation of concerns. Frontend Directory (frontend/): - index.html: Single-page web interface (renamed from web_ui.html) - README.md: Frontend deployment guide - Total size: ~113 KB (self-contained) - Smart base path detection (works at / or /ai_qc/) - No configuration changes required Backend Directory (backend/): - All Python files (api_server.py, llm_config.py, etc.) - visual_qc_apps/: 33 QC check modules - profiles/: 6 QC profile configurations - brand_guidelines/: Reference asset storage - config/: Environment configurations - scripts/: Deployment automation - uploads/, output/: Data directories - requirements.txt, ai_qc.service, apache_config.conf - Complete documentation New Documentation: - FOLDER_STRUCTURE.md: Comprehensive guide to new structure - frontend/README.md: Frontend deployment instructions - backend/BACKEND_README.md: Backend deployment guide Deployment Mapping: - frontend/ → /var/www/html/ai_qc/ (web root) - backend/ → /opt/ai_qc/ (application directory) Benefits: - Clear separation of concerns - Backend code not in web-accessible directory - Independent frontend/backend updates - Matches server's existing patterns (/opt/veo3, /opt/voice2text) - Industry-standard architecture - Easy to deploy and maintain Original files preserved in root directory for reference. Ready for production deployment following MIGRATION_GUIDE.md. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
47 lines
2.3 KiB
Python
Executable file
47 lines
2.3 KiB
Python
Executable file
import os
|
||
import sys
|
||
|
||
# Add parent directory to path to import shared modules
|
||
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
|
||
|
||
from visual_qc_apps.flask_app_template import FlaskAppTemplate
|
||
|
||
class SupportingImagesApp(FlaskAppTemplate):
|
||
"""
|
||
Supporting Images Check
|
||
"""
|
||
|
||
def __init__(self):
|
||
# Define the hardcoded prompt
|
||
prompt = """You are performing a visual quality-control check on a Point of Sale (POS) advertisement. Your task is to determine whether non-product images complement or dramatize the core message of the advertisement.
|
||
|
||
STEPS TO EVALUATE:
|
||
1. Examine the advertisement's overall layout and identify any images present.
|
||
2. Differentiate between product images (pack shots and logos) and non-product images.
|
||
3. Assess whether the non-product images help communicate key attributes of the product, such as flavor, texture, scent, enjoyment, confidence, or pride.
|
||
4. Determine if the non-product images evoke emotions or sensations that enhance the advertisement's message beyond what the product images convey.
|
||
5. Consider how the non-product images add to the persuasiveness and emotive appeal of the advertisement.
|
||
|
||
PASS/FAIL CRITERIA:
|
||
Pass: The advertisement includes non-product images that clearly enhance or dramatize the core message through attributes such as emotion, flavor, texture, etc.
|
||
Fail: The advertisement contains only product images, such as pack shots and logos, without any non-product imagery contributing to the core message.
|
||
|
||
YOUR OUTPUT:
|
||
1. State whether non-product images are present.
|
||
2. If non-product images are present, state whether the advertisement "passes" or "fails" based on the criteria above.
|
||
3. If it fails, provide 1–2 concise recommendations for improving the advertisement's emotive appeal using non-product images.
|
||
|
||
Include a JSON code block with these fields:
|
||
{
|
||
"non_product_images_present": true or false,
|
||
"advertisement_complements_core_message": "Pass" or "Fail" (only if non_product_images_present is true),
|
||
"recommendations": ["Recommendation 1", "Recommendation 2"] (only if "Fail")
|
||
}"""
|
||
|
||
# Initialize the Flask app with the prompt
|
||
super().__init__(__name__, prompt)
|
||
|
||
# Run the app if executed directly
|
||
if __name__ == "__main__":
|
||
app = SupportingImagesApp()
|
||
app.run(debug=True)
|