Update app.py

app.py

@@ -1,9 +1,26 @@
 import gradio as gr
 import os
-
+from PIL import Image
+from ultralytics import YOLO
+import cv2 as cv
+import numpy as np
 
 def image_mod(image):
-    return image.rotate(45)
+
+    # Load a pretrained YOLOv8n model
+    model = YOLO('/Modelo/MN_detect_last.pt')
+    
+    img = cv.imread(image)
+    img = cv.resize(img, (640, 640))
+    results = model(img, conf=0.60)  # results list
+    
+    # Show the results
+    for r  in results:
+      im_array = r.plot()  # plot a BGR numpy array of predictions
+      im = Image.fromarray(im_array[..., ::-1])  # RGB PIL image
+      im.show()  # show image
+
+    return im
 
 demo = gr.Interface(
     image_mod,