https://github.com/raviteja-reddy-guntaka/content-summarizer

This project is an AI-powered PDF summarizer that uses Flask and Ollama to create concise, markdown-formatted summaries of uploaded PDF documents.
https://github.com/raviteja-reddy-guntaka/content-summarizer

cache-storage flask-application ollama python

Last synced: 10 days ago
JSON representation

This project is an AI-powered PDF summarizer that uses Flask and Ollama to create concise, markdown-formatted summaries of uploaded PDF documents.

• Host: GitHub
• URL: https://github.com/raviteja-reddy-guntaka/content-summarizer
• Owner: raviteja-reddy-guntaka
• License: apache-2.0
• Created: 2025-01-02T04:56:02.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2025-01-02T07:29:21.000Z (about 1 month ago)
• Last Synced: 2025-01-20T20:54:45.054Z (15 days ago)
• Topics: cache-storage, flask-application, ollama, python
• Language: Python
• Homepage: https://github.com/raviteja-reddy-guntaka/content-summarizer
• Size: 204 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# content-summarizer (AI-Powered PDF Summarizer)

This project is an AI-powered PDF summarizer that uses Flask and Ollama to create concise, markdown-formatted summaries of uploaded PDF documents.

![alt text](image.png)

## Prerequisites

Before you begin, ensure you have the following installed:

- Python 3.7 or higher

- pip (Python package manager)

- Ollama (for running local AI models)

## Setup Instructions

1. Install the required packages:

```

pip install -r requirements.txt

```

2. Pull the Gemma model using Ollama:

```

ollama pull gemma

```

3. Run the Flask application:

```

python app.py

```

## Usage

1. Upload a PDF file using the web interface.

2. Click the "Summarize" button.

3. Wait for the AI to process and summarize the document.

4. View the markdown-formatted summary on the page.

## Project Outcome

This project demonstrates the following capabilities:

1. **PDF Processing**: Extracts text from uploaded PDF files.

2. **AI-Powered Summarization**: Uses the Gemma model through Ollama to generate concise summaries.

3. **Markdown Formatting**: Presents summaries in a structured, easy-to-read markdown format.

4. **Caching**: Stores generated summaries to avoid redundant processing of the same document.

5. **Web Interface**: Provides a simple, user-friendly interface for document upload and summary display.

## Technologies Used

- Flask: Web framework for the backend

- PyPDF2: PDF processing library

- Ollama: Interface for running local AI models

- Marked.js: Client-side markdown rendering

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## License

This project is licensed under the Apache License - see the [LICENSE](LICENSE) file for details.