app.py

import gradio as gr

from PIL import Image


# Load the YOLOv8 model
from ultralytics import YOLO
model = YOLO("best.pt")

# Define a function for inference
def detect_objects(input_image):
    # Convert Gradio input to a PIL image
   
    # Perform object detection
    results = model(input_image)
    for r in results:
        im_array = r.plot()  # plot a BGR numpy array of predictions
        im = Image.fromarray(im_array[..., ::-1])
        return  im
# Define the Gradio interface
outputs = gr.outputs.Image(type="pil", label="Output Image")


demo = gr.Interface(
    detect_objects,
    gr.Image(type="pil"),
    outputs,
   title="Burn Detection"
  
)

demo.launch()