AI Summarizer - FastAPI

A FastAPI-based AI-powered document summarization service that extracts text from uploaded PDF/DOCX files and provides structured summaries in four formats using OpenAI's GPT-4o-mini.

Features

✅ Upload and extract text from PDF and DOCX files
✅ AI-powered document summarization
✅ Provides four summary formats:

• Short Version (30-50 words)
• Detailed Version (100-200 words)
• Technical Version (domain-specific)
• Layman Version (simplified explanation)
  ✅ View summary history
  ✅ Delete summaries

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Tech Stack

Component	Technology
Backend	FastAPI (Python)
AI API	OpenAI GPT-4o-mini
Storage	AWS S3 (for file uploads, optional)
Database	PostgreSQL / Firebase Firestore (future enhancement)
Auth	Firebase Auth (future enhancement)
Frontend	React (planned integration)

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Installation & Setup

1. Clone the Repository

git clone https://github.com/your-username/ai-summarizer.git
cd ai-summarizer

2. Set Up a Virtual Environment

python -m venv venv
source venv/bin/activate  # macOS/Linux
venv\Scripts\activate     # Windows

3. Install Dependencies

pip install -r requirements.txt

4. Set Up Environment Variables

Create a .env file in the project root and add your OpenAI API key:

OPENAI_API_KEY=your_openai_api_key_here

5. Run the FastAPI Server

uvicorn main:app --host 0.0.0.0 --port 8000 --reload

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API Endpoints

Method	Endpoint	Description
POST	/upload	Upload a file (PDF/DOCX) and extract text
POST	/summarize	Get AI-generated summaries in four formats
GET	/history	Retrieve previous summaries (mock data for now)
DELETE	/delete	Delete a summary (mock implementation)

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Example Usage

1. Upload a File

Request

curl -X 'POST' \
  'http://localhost:8000/upload' \
  -H 'accept: application/json' \
  -H 'Content-Type: multipart/form-data' \
  -F 'file=@example.pdf'

Response

{
  "message": "File uploaded successfully",
  "text": "Extracted text content here..."
}

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2. Get AI-Generated Summaries

Request

curl -X 'POST' \
  'http://localhost:8000/summarize' \
  -H 'Content-Type: application/json' \
  -d '{"text": "Your extracted text here"}'

Response

{
  "short_version": "...",
  "detailed_version": "...",
  "technical_version": "...",
  "layman_version": "..."
}

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Future Enhancements

🚀 User Authentication (Google login, Firebase Auth)
🚀 Storage & History (Save summaries in PostgreSQL/Firebase)
🚀 Payment Integration (Stripe, PayPal for API access)
🚀 Frontend (React Integration)

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License

This project is licensed under the MIT License.