📄 PDF Summarizer with GPT-3.5, FastAPI & Streamlit

An interactive web app to summarize PDF documents using OpenAI’s GPT-3.5.
Built with FastAPI (backend) and Streamlit (frontend).

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✨ Features

• 📑 Upload PDFs directly in the browser
• ⚡ Generates concise summaries using GPT-3.5 via LangChain
• 🖥️ FastAPI backend to handle summarization requests
• 🎨 Streamlit frontend with a simple UI
• 🔐 Secure API key handling via environment variables

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🛠️ Tech Stack

• LangChain – Python library
• OpenAI GPT-3.5 – LLM
• FastAPI – backend API server
• Streamlit – frontend UI

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🚀 Getting Started

• Clone the repository - git clone https://github.com/themagedigest/pdf-summariser.git
• cd pdf-summariser
• Create & activate virtual environment -

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

• Install dependencies - pip install -r requirements.txt
• Set up environment variables Create a .env file in the project root and add your keys: OPENAI_API_KEY=your_api_key_here
• Start the FASTAPI server - uvicorn api:app --reload
• Start the Sreamlit application - streamlit run app.py

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📷 Screenshots

• Homepage

• Output