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title: CreatorStudio AI Backend Develop
emoji: 🚀
colorFrom: blue
colorTo: indigo
sdk: docker
pinned: false
---
# CreatorStudio AI Backend
CreatorStudio AI is a powerful, enterprise-grade AI content generation and study platform. It leverages state-of-the-art Large Language Models (LLMs) and cloud infrastructure to transform documents and media into a wide array of educational and creative content.
## 🚀 Features
- **🔐 Robust Authentication**: Secure JWT-based authentication system with password hashing and user-scoped data access.
- **📂 Source Management**: Integrated AWS S3 file management for seamless document uploads, listing, and storage.
- **🧠 Advanced RAG (Retrieval-Augmented Generation)**: Chat with your uploaded documents using Azure AI Search and OpenAI/Gemini, enabling high-precision context-aware interactions.
- **🎙️ Podcast Generation**: Automatically transform text and documents into professional podcast scripts and audio segments.
- **🎬 Video Generation**: Create engaging video summaries and slide-based videos from static content using MoviePy and FFmpeg.
- **📝 Interactive Study Tools**:
- **Flashcards**: AI-generated flashcards tailored to your source material.
- **Quizzes**: Customizable quizzes with multiple-choice questions, hints, and detailed explanations.
- **Mind Maps**: Visualize complex relationships with auto-generated Mermaid.js mind maps.
- **📊 Smart Reports**: Generate structured, professional reports and summaries from various source materials.
## 🛠️ Tech Stack
- **Framework**: FastAPI (Python 3.x)
- **Database**: SQLAlchemy ORM with support for relational databases (e.g., MSSQL/PostgreSQL).
- **AI Infrastructure**:
- **LLMs**: OpenAI GPT-4o, Google Gemini Pro.
- **RAG**: Azure AI Search, Azure OpenAI Embeddings.
- **Cloud & Processing**:
- **Storage**: AWS S3, Azure Blob Storage.
- **Media**: MoviePy, FFmpeg, Pydub for audio/video processing.
- **Documents**: PyPDF2, pdf2image, Pillow for comprehensive document handling.
## 📁 Project Structure
```text
CreatorStudio AI/
├── api/ # FastAPI routers and endpoint logic
│ ├── auth.py # Authentication & User management
│ ├── sources.py # S3 Source file management
│ ├── rag.py # Azure RAG indexing and querying
│ ├── podcast.py # Podcast generation endpoints
│ ├── flashcards.py # Flashcard generation logic
│ └── ... # Quizzes, Mindmaps, Reports, Video Gen
├── core/ # Core application configuration
│ ├── config.py # Pydantic settings & Environment management
│ ├── database.py # DB connection & Session management
│ ├── prompts.py # Centralized AI prompt templates
│ └── security.py # JWT & Password hashing utilities
├── models/ # Data models
│ ├── db_models.py # SQLAlchemy database models (User, Source, RAG, etc.)
│ └── schemas.py # Pydantic request/response schemas for API
├── services/ # Business logic & 3rd party integrations
│ ├── s3_service.py # AWS S3 integration
│ ├── rag_service.py # Azure AI Search & RAG logic
│ ├── podcast_service.py # Podcast creation & script logic
│ ├── video_generator_service.py # Video processing
│ └── ... # Specialized services for all features
├── main.py # Application entry point & Router inclusion
└── requirements.txt # Project dependencies
```
## ⚙️ Setup & Installation
1. **Clone the repository**
2. **Create a Virtual Environment**:
```bash
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
3. **Install Dependencies**:
```bash
pip install -r requirements.txt
```
4. **Configure Environment Variables**:
Create a `.env` file in the root directory based on the following template:
```env
# AWS Configuration
AWS_ACCESS_KEY_ID=your_aws_key
AWS_SECRET_ACCESS_KEY=your_aws_secret
AWS_S3_BUCKET=your_bucket_name
# Azure RAG & OpenAI
AZURE_SEARCH_ENDPOINT=your_endpoint
AZURE_SEARCH_KEY=your_search_key
AZURE_OPENAI_API_KEY=your_openai_key
AZURE_OPENAI_ENDPOINT=your_openai_endpoint
# LLM Keys
OPENAI_API_KEY=your_openai_key
GEMINI_API_KEY=your_gemini_key
# Database & Security
DATABASE_URL=your_db_connection_string
SECRET_KEY=your_jwt_secret_key
```
5. **Run the Server**:
```bash
python main.py
```
The API will be available at `http://localhost:8000`. Access the interactive documentation at `http://localhost:8000/docs`.
## 📖 API Documentation
The backend provides a fully interactive Swagger UI at `/docs` for testing and exploration.
- **Auth**: `/api/auth/register`, `/api/auth/login`
- **Sources**: `/api/sources/upload`, `/api/sources/list`, `/api/sources/{id}`
- **RAG**: `/api/rag/index`, `/api/rag/query`
- **Content Generation**: `/api/podcast`, `/api/flashcards`, `/api/mindmaps`, `/api/quizzes`, `/api/reports`, `/api/video_generator`
---
© 2026 CreatorStudio AI Team. All rights reserved.
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