---
title: Iris Detector
emoji: 🌸
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: "5.49.1"
app_file: app.py
pinned: false
---

# 🌸 Iris Detector

A simple Gradio Space that predicts iris species using a K-Nearest Neighbors classifier (k=5).

## Features
- 4 numeric inputs: sepal length, sepal width, petal length, petal width
- Predicts one of 3 classes: `setosa`, `versicolor`, `virginica`
- Shows probability distribution
- Exposes API endpoint `/run/predict` for programmatic access

## API Usage

**Endpoint:**
```
POST https://huggingface.co/spaces/tofighi/iris-detector/run/predict
```

**Request Body Example:**
```json
{
  "data": [[5.1, 3.5, 1.4, 0.2]]
}
```

**Response Example:**
```json
{
  "data": [
    {
      "predicted_class": "setosa",
      "probabilities": {
        "setosa": 1.0,
        "versicolor": 0.0,
        "virginica": 0.0
      }
    }
  ]
}
```

**Python Example:**
```python
import requests

url = "https://huggingface.co/spaces/tofighi/iris-detector/run/predict"
payload = {"data": [[5.1, 3.5, 1.4, 0.2]]}
resp = requests.post(url, json=payload)
print(resp.json())
```