Update app.py

app.py

@@ -1,29 +1,27 @@
 import gradio as gr
 from ultralytics import YOLO
 
-# Load your trained YOLOv8n model
-# Ensure 'yolov8n.pt' is in the repository or provide the correct path.
 model = YOLO("best (1).pt")
 
 def detect(image):
  
-    # Run inference
+    # Running inference
     results = model(image)
     
-    # Use the first result and plot detections on the image
     annotated_image = results[0].plot()  
     return annotated_image
 
-# Build Gradio Interface
+# 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"]
+    examples=["solarpanels_native_3__x0_10924_y0_9818_dxdy_416.jpg",
+              "solarpanels_native_3__x0_12671_y0_11008_dxdy_416.jpg"]
 )
 
-# Launch the interface (Hugging Face Spaces will automatically run the app)
+# Launching the interface (Hugging Face Spaces will automatically run the app)
 if __name__ == "__main__":
     iface.launch()