app.py

import gradio as gr
from transformers import pipeline

# Load the age estimation model
age_model = pipeline("image-classification", model="nateraw/vit-age-classifier")

def predict_age(image):
    
    result = age_model(image)
    
    age = result[0]['label']
    
    return f"Estimated Face Age: {age}"


iface = gr.Interface(
    fn=predict_age,
    inputs=gr.Image(type="pil"),
    outputs="text",
    title="Face Age Detection",
    description="Upload a face and AI will estimate the age."
)

iface.launch()