---
title: Ollama API Space
emoji: 🚀
colorFrom: blue
colorTo: purple
sdk: docker
app_port: 7860
---

# 🚀 Ollama API Space

A Hugging Face Space that provides a REST API interface for Ollama models, allowing you to run local LLMs through a web API.

## 🌟 Features

- **Model Management**: List and pull Ollama models
- **Text Generation**: Generate text using any available Ollama model
- **REST API**: Simple HTTP endpoints for easy integration
- **Health Monitoring**: Built-in health checks and status monitoring
- **OpenWebUI Integration**: Compatible with OpenWebUI for a full chat interface

## 🚀 Quick Start

### 1. Deploy to Hugging Face Spaces

1. Fork this repository or create a new Space
2. Upload these files to your Space
3. **No environment variables needed** - Ollama runs inside the Space!
4. Wait for the build to complete (may take 10-15 minutes due to Ollama installation)

### 2. Local Development

```bash
# Clone the repository
git clone <your-repo-url>
cd ollama-space

# Install dependencies
pip install -r requirements.txt

# Install Ollama locally
curl -fsSL https://ollama.ai/install.sh | sh

# Start Ollama in another terminal
ollama serve

# Run the application
python app.py
```

## 📡 API Endpoints

### GET `/api/models`
List all available Ollama models.

**Response:**
```json
{
  "status": "success",
  "models": ["llama2", "codellama", "neural-chat"],
  "count": 3
}
```

### POST `/api/models/pull`
Pull a model from Ollama.

**Request Body:**
```json
{
  "name": "llama2"
}
```

**Response:**
```json
{
  "status": "success",
  "model": "llama2"
}
```

### POST `/api/generate`
Generate text using a model.

**Request Body:**
```json
{
  "model": "llama2",
  "prompt": "Hello, how are you?",
  "temperature": 0.7,
  "max_tokens": 100
}
```

**Response:**
```json
{
  "status": "success",
  "response": "Hello! I'm doing well, thank you for asking...",
  "model": "llama2",
  "usage": {
    "prompt_tokens": 7,
    "completion_tokens": 15,
    "total_tokens": 22
  }
}
```

### GET `/health`
Health check endpoint.

**Response:**
```json
{
  "status": "healthy",
  "ollama_connection": "connected",
  "available_models": 3
}
```

## 🔧 Configuration

### Environment Variables

- `OLLAMA_BASE_URL`: URL to your Ollama instance (default: `http://localhost:11434` - **Ollama runs inside this Space!**)
- `MODELS_DIR`: Directory for storing models (default: `/models`)
- `ALLOWED_MODELS`: Comma-separated list of allowed models (default: all models)

**Note**: This Space now includes Ollama installed directly inside it, so you don't need an external Ollama instance!

### Supported Models

By default, the following models are allowed:
- `llama2`
- `llama2:13b`
- `llama2:70b`
- `codellama`
- `neural-chat`

You can customize this list by setting the `ALLOWED_MODELS` environment variable.

## 🌐 Integration with OpenWebUI

This Space is designed to work seamlessly with OpenWebUI. You can:

1. Use this Space as a backend API for OpenWebUI
2. Configure OpenWebUI to connect to this Space's endpoints
3. Enjoy a full chat interface with your local Ollama models

## 🐳 Docker Support

The Space includes a Dockerfile for containerized deployment:

```bash
# Build the image
docker build -t ollama-space .

# Run the container
docker run -p 7860:7860 -e OLLAMA_BASE_URL=http://host.docker.internal:11434 ollama-space
```

## 🔒 Security Considerations

- The Space only allows access to models specified in `ALLOWED_MODELS`
- All API endpoints are publicly accessible (consider adding authentication for production use)
- The Space connects to your Ollama instance - ensure proper network security

## 🚨 Troubleshooting

### Common Issues

1. **Connection to Ollama failed**: Check if Ollama is running and accessible
2. **Model not found**: Ensure the model is available in your Ollama instance
3. **Timeout errors**: Large models may take time to load - increase timeout values

### Health Check

Use the `/health` endpoint to monitor the Space's status and Ollama connection.

## 📝 License

This project is open source and available under the MIT License.

## 🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## 📞 Support

If you encounter any issues or have questions, please open an issue on the repository.