---
title: Imagebind
emoji: 📚
colorFrom: red
colorTo: green
sdk: docker
pinned: false
license: mit
short_description: Small imagebind api implementation
---

# ImageBind API Implementation

A FastAPI implementation of Facebook's ImageBind model for cross-modal embeddings.

## Local Setup

1. Install system dependencies:

```bash
sudo apt-get update && sudo apt-get install -y ffmpeg libsndfile1
```

2. Create and activate a virtual environment:

```bash
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
```

3. Install Python dependencies:

```bash
pip install --no-cache-dir --upgrade -r requirements.txt
```

4. Download and setup ImageBind:

```bash
python setup_imagebind.py
pip install --no-cache-dir .
```

## Docker Setup

Build and run the container:

```bash
docker build -t imagebind-api .
docker run -p 8000:8000 imagebind-api
```

## API Endpoints

The API will be available at `http://localhost:8000` with the following endpoints:

- POST `/compute_embeddings`: Generate embeddings for images, audio files, and text
- POST `/compute_similarities`: Compute similarities between embeddings

For detailed API documentation, visit `http://localhost:8000/docs`

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