CQE System Rebuild Prompt
# Complete Rebuild Prompt — Call Quality Evaluation AI System
> Copy everything below this line and paste it to any GPT model to recreate the full application.
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## PROMPT START
Build a **Call Quality Evaluation AI System** — a banking call-center QA platform built with Python + Flask. This is a production-grade web application, not a prototype. Every detail below must be implemented exactly as described.
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## 1. TECHNOLOGY STACK
- **Backend**: Python 3.11+, Flask 3.x
- **Templating**: Jinja2 (Flask built-in)
- **Frontend**: Bootstrap 5.3.2 + Bootstrap Icons 1.11.3 (CDN), Chart.js 4.4.1 (CDN)
- **Storage**: JSON files only — NO database, NO SQLite, NO ORM
- **LLM**: NVIDIA NIM API (`https://integrate.api.nvidia.com/v1`), model `meta/llama-3.3-70b-instruct`
- **Dependencies** (`requirements.txt`): `flask>=3.0.0`, `python-dotenv>=1.0.0`, `requests>=2.31.0`
- **Config**: `.env` file loaded via `python-dotenv`
- **Port**: 5001 (default)
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## 2. PROJECT FILE STRUCTUREwhen to use it
Community prompt sourced from the open-source GitHub repo krish9219/promptlab (NOASSERTION). A "CQE System Rebuild Prompt" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
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krish9219/promptlab · NOASSERTION
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