app.py

import gradio as gr
from ultralytics import YOLO

model = YOLO("best (1).pt")

def detect(image):
 
    # Running inference
    results = model(image)
    
    annotated_image = results[0].plot()  
    return annotated_image

# Building Gradio Interface
iface = gr.Interface(
    fn=detect,
    inputs=gr.Image(type="numpy", label="Input Image"),
    outputs=gr.Image(type="numpy", label="Detection Output"),
    title="Solar Panel Detection",
    description="Upload an image, and the model will detect the Solar Panels.",
    examples=["solarpanels_native_3__x0_10924_y0_9818_dxdy_416.jpg",
              "solarpanels_native_3__x0_12671_y0_11008_dxdy_416.jpg"]
)

# Launching the interface (Hugging Face Spaces will automatically run the app)
if __name__ == "__main__":
    iface.launch()