Delete app.py

app.py

@@ -1,36 +0,0 @@
-import gradio as gr
-import cv2
-import numpy as np
-from ultralytics import YOLO
-
-# Load the YOLOv8 model
-model = YOLO("best.pt")  # Ensure this file is in the same directory as app.py on Hugging Face
-
-# Define the inference function
-def predict(image):
-    # Convert the input image from RGB to BGR (OpenCV format)
-    image_bgr = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
-    
-    # Run the model on the input image
-    results = model(image_bgr)
-    
-    # Extract the result image with detections
-    annotated_image = results[0].plot()  # Returns a BGR image with annotations
-    
-    # Convert the image back to RGB for displaying in Gradio
-    annotated_image_rgb = cv2.cvtColor(annotated_image, cv2.COLOR_BGR2RGB)
-    
-    return annotated_image_rgb
-
-# Define the Gradio interface
-interface = gr.Interface(
-    fn=predict,
-    inputs=gr.Image(type="numpy", label="Upload an Image"),
-    outputs=gr.Image(type="numpy", label="Detected Objects"),
-    title="YOLOv8 Object Detection",
-    description="Upload an image to detect objects with YOLOv8 model."
-)
-
-# Launch the app
-if __name__ == "__main__":
-    interface.launch(share=True)