README.md

metadata

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:

{
  "data": [[5.1, 3.5, 1.4, 0.2]]
}

Response Example:

{
  "data": [
    {
      "predicted_class": "setosa",
      "probabilities": {
        "setosa": 1.0,
        "versicolor": 0.0,
        "virginica": 0.0
      }
    }
  ]
}

Python Example:

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())