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>
62 lines
2.4 KiB
Python
Executable file
62 lines
2.4 KiB
Python
Executable file
import os
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import sys
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# Add parent directory to path to import shared modules
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sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
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from visual_qc_apps.flask_app_template import FlaskAppTemplate
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class CallToActionApp(FlaskAppTemplate):
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"""
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Call to Action Check
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"""
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def __init__(self):
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# Define the hardcoded prompt
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prompt = """You are performing a visual quality-control check on a Point of Sale (POS) advertisement. Your task is to determine whether the text on the advertisement includes an effective call-to-action with the following criteria:
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1. Uses an imperative verb (such as "Buy", "Try", "Get", "Discover", etc.)
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2. Contains 10 words or less
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3. Is free of spelling and grammar errors
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4. Encourages the viewer to buy, use, or consume the product featured
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STEPS TO EVALUATE:
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1. Examine the Text Content: Identify any text present on the advertisement, specifically focusing on the call-to-action.
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2. Call-to-Action Analysis:
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a. Identify the main call-to-action text (if present)
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b. Check if it begins with or contains an imperative verb
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c. Count the number of words (must be 10 or fewer)
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d. Check for spelling and grammar errors
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3. Effectiveness Check:
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a. Evaluate if the text includes clear persuasive language encouraging purchase, use, or consumption
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b. Assess whether it goes beyond merely being a product claim
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c. Determine if it inspires action
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YOUR OUTPUT:
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1. State whether a call-to-action is present
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2. If present:
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- Note if it uses an imperative verb
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- Count the words (should be 10 or fewer)
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- Verify it's free of spelling/grammar errors
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- Assess if it effectively encourages action
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3. Provide an overall pass/fail assessment
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4. If it fails, provide 1–2 concise recommendations for improvement
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5. Include a JSON code block with these fields:
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{
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"cta_present": true or false,
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"uses_imperative_verb": true or false,
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"word_count": number,
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"word_count_acceptable": true or false,
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"spelling_grammar_correct": true or false,
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"encourages_action": true or false,
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"overall_assessment": "Pass" or "Fail",
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"recommendations": ["Recommendation 1", "Recommendation 2"] (if failed)
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}"""
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# Initialize the Flask app with the prompt
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super().__init__(__name__, prompt)
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# Run the app if executed directly
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if __name__ == "__main__":
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app = CallToActionApp()
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app.run(debug=True)
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