VCF Viewer

A modern, web-based VCF (vCard) file viewer built with Python and Streamlit. vibe coded for quick check.

Features

• Multi-file Upload: Load multiple .vcf files at once.
• Search & Filter: Quickly find contacts by name, email, or phone.
• Interactive Table: View all contacts in a clean, sortable table.
• Detailed View: See all fields for a selected contact.
• Map Integration: Automatically shows the contact's location on a map if an address is provided.
• Export: Download your filtered contact list as a CSV file.

How to Run

1. Install Dependencies: Make sure you have Python installed, then run:

   pip install -r requirements.txt

2. Launch the App:

   streamlit run app.py

3. Usage:

   • Open the URL provided by Streamlit (usually http://localhost:8501).
   • Drag and drop your .vcf files into the uploader.
   • Use the sidebar to search.
   • Select a contact from the dropdown to see their details and location.

Project Structure

• app.py: Main Streamlit application.
• parser.py: Logic for parsing VCF files using vobject.
• requirements.txt: List of required Python packages.
• samples/: Contains a sample VCF file for testing.