https://github.com/solrikk/imagespacedb

ImageSpace is a Python application that downloads images from web pages, filters out certain types of images, and stores the valid images in a SQLite database. It utilizes the FastAPI framework for providing an API endpoint to process web pages and extract images.
https://github.com/solrikk/imagespacedb

api api-server db parser photo-url program python sqlite url-parser

Last synced: about 1 month ago
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ImageSpace is a Python application that downloads images from web pages, filters out certain types of images, and stores the valid images in a SQLite database. It utilizes the FastAPI framework for providing an API endpoint to process web pages and extract images.

• Host: GitHub
• URL: https://github.com/solrikk/imagespacedb
• Owner: Solrikk
• License: mit
• Created: 2024-04-05T10:19:45.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-04-15T17:36:26.000Z (9 months ago)
• Last Synced: 2024-04-15T18:47:29.173Z (9 months ago)
• Topics: api, api-server, db, parser, photo-url, program, python, sqlite, url-parser
• Language: Python
• Homepage:
• Size: 67.4 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# ImageSpace

ImageSpace is a Python application that downloads images from web pages, filters out certain types of images, and stores the valid images in a SQLite database. It utilizes the FastAPI framework for providing an API endpoint to process web pages and extract images. The application also includes functionality to create a local database for storing the image URLs.

## Features

- Download images from web pages

- Filter out specific types of images

- Store valid images in a SQLite database

- API endpoint for processing web pages and extracting images

- Local database creation for storing image URLs

## Technologies Used

- Python

- Requests library

- BeautifulSoup library

- SQLite

- FastAPI

## Installation

1. Clone the repository.

2. Install the required dependencies using `pip install -r requirements.txt`.

3. Run the application using `uvicorn main:app --reload`.

Feel free to contribute and improve this application!