|
title: Jewelry Recommender |
|
emoji: π |
|
colorFrom: purple |
|
colorTo: pink |
|
sdk: gradio |
|
sdk_version: 3.50.2 |
|
app_file: updatedcode/app.py |
|
pinned: false |
|
license: mit |
|
duplicated_from: null |
|
models: |
|
- efficientnet |
|
- faiss |
|
python_version: 3.9 |
|
datasets: |
|
- None |
|
tags: |
|
- image-similarity |
|
- jewelry |
|
- recommendation-system |
|
- computer-vision |
|
|
|
|
|
gradio: |
|
theme: default |
|
dark_background: False |
|
live: False |
|
capture_session: False |
|
allow_flagging: never |
|
queue_concurrency_count: 1 |
|
max_file_size: 10 |
|
|
|
|
|
dependencies: |
|
-torch>=2.0.0 |
|
-torchvision>=0.15.0 |
|
-faiss-cpu>=1.7.0 |
|
-scikit-learn>=1.0.0 |
|
-numpy>=1.20.0 |
|
-pandas>=1.3.0 |
|
-pyarrow>=7.0.0 |
|
-matplotlib>=3.5.0 |
|
-Pillow>=9.0.0 |
|
-tqdm>=4.60.0 |
|
-ipywidgets>=7.7.0 |
|
-gdown>=4.5.0 |
|
-gradio>=3.0.0 |
|
-concurrent-log-handler>=0.9.20 |
|
-plotly>=5.10.0 |
|
|
|
|
|
|
|
hardware: |
|
accelerator: cpu |
|
cpu: 2 |
|
memory: 16GB |
|
|
|
|
|
files: |
|
- app.py |
|
- jewelry_index.idx |
|
- jewelry_metadata.pkl |
|
- README.md |
|
|
|
|
|
information: |
|
description: > |
|
This Jewelry Recommender app uses computer vision to find similar jewelry items |
|
based on a reference image. Upload an image of jewelry, provide an image URL, |
|
or paste a base64-encoded image to get visually similar recommendations. |
|
The system uses an EfficientNet model for feature extraction and FAISS for fast similarity search. |
|
license: MIT |
|
author: Maazuddin |
|
repository: https://github.com/Maazuddin1/jewelry-recommender |