gradio_app.py

import gradio as gr
from transformers import pipeline
from PIL import Image

# Load your model
agent = pipeline("image-classification", model="your-username/your-model-name")

def analyze_image(image):
    results = agent(image)
    # Format results for clean output
    return {r["label"]: r["score"] for r in results}

# Create UI
demo = gr.Interface(
    fn=analyze_image,
    inputs=gr.Image(type="pil"),
    outputs=gr.Label(num_top_classes=3),
    examples=["example1.jpg", "example2.jpg"],
    title="🛡️ AI Vision Agent: Security Compliance Assistant",
    description="Upload an image to detect clean-desk violations, unattended devices, and more!",
)

demo.launch()