---
title: BioClip Image Classification
emoji: 🌿
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 3.27.0
app_file: app.py
pinned: false
---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

# BioClip Image Classification

This Hugging Face Space demonstrates image classification using the BioClip model. Upload an image to get a prediction of its class, along with the top 3 most similar classes and file paths.

## How to Use

1. Open the Gradio interface in this Space.
2. Upload an image using the provided input area.
3. The model will process the image and return:
   - The predicted class
   - The top 3 most similar classes
   - The top 3 most similar file paths from the dataset

## About the Model

This Space uses the BioClip model, which is designed for biological image classification. The model is loaded from the Hugging Face model hub (imageomics/bioclip).

## Technical Details

- The Space uses Gradio for the user interface.
- It employs FAISS indexes for efficient similarity search.
- The classification is performed using a k-nearest neighbors approach with majority voting.

## Note

The FAISS indexes are downloaded at runtime. Make sure your Space has internet access to download these files when the app starts.