app.py

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

# Load object detection pipeline
detector = pipeline("object-detection", model="facebook/detr-resnet-50")

def detect_objects(image):
    results = detector(image)

    # Draw bounding boxes on the image
    img = image.copy()
    draw = ImageDraw.Draw(img)

    for obj in results:
        box = obj["box"]
        label = obj["label"]
        score = obj["score"]

        # Rectangle around object
        draw.rectangle(
            [(box["xmin"], box["ymin"]), (box["xmax"], box["ymax"])],
            outline="red", width=3
        )
        # Label text
        draw.text((box["xmin"], box["ymin"] - 10), f"{label} ({score:.2f})", fill="red")

    return img

with gr.Blocks() as demo:
    gr.Markdown("## Object Detection App (with Bounding Boxes)")

    with gr.Row():
        input_img = gr.Image(type="pil", label="Upload an Image")
        output_img = gr.Image(type="pil", label="Detected Objects")

    btn = gr.Button("Detect Objects")
    btn.click(fn=detect_objects, inputs=input_img, outputs=output_img)

demo.launch()