Michael Ikehi
6fd7213076
- Set up FastAPI backend with modular structure: - main.py for API routing - copywriter.py for AI-powered content generation using Cohere - embeddings.py for generating and reranking content embeddings - vector_store.py for FAISS-based similarity search - brand_style.py for managing brand tone, taboo words, and preferred terms - config.py for managing environment and application settings - Configured RESTful API endpoints: /generate-copy, /brand-style, /training-data, /improve-content, /analyze-content - Created frontend with vanilla HTML, CSS, and JS (index.html, styles.css, app.js) - Integrated brand style management for tone, voice, taboo words, and terminology - Implemented vector search for referencing similar historical content - Enabled training data input to improve future AI output - Added environment variable support for API keys and model configs - Structured data storage with local JSON and DB files - Added developer documentation, API reference, and project setup instructions This commit provides the foundation for a full-stack, AI-driven content creation platform that ensures brand consistency, speeds up marketing workflows, and supports iterative improvement over time.
36 lines
625 B
JSON
36 lines
625 B
JSON
{
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"brand_name": "Adriana James",
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"tone": [
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"professional",
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"friendly",
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"inspirational",
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"empowering",
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"excited",
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"authoritative"
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],
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"voice_characteristics": [
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"clear",
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"direct",
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"empowering",
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"confident",
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"authentic",
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"innovative",
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"visionary",
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"approachable"
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],
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"taboo_words": [
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"cheap",
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"discount",
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"bargain",
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"failure",
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"impossible",
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"difficult"
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],
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"preferred_terms": {
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"customers": "clients",
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"products": "solutions",
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"problems": "challenges",
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"services": "experiences",
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"training": "transformation"
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}
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} |