Create app.py

app.py

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+#!pip install ultralytics supervision huggingface_hub opencv-python
+
+import cv2
+import os
+import supervision as sv
+from huggingface_hub import hf_hub_download
+from ultralytics import YOLO
+from huggingface_hub import login
+
+login(token=os.getenv("HF_TOKEN"))
+
+#download the model
+model_path = hf_hub_download(
+    repo_id="tech4humans/yolov8s-signature-detector",
+    filename="yolov8s.pt"
+)
+
+#load model
+model = YOLO(model_path)
+
+ # choose your image manually
+from google.colab import files
+uploaded = files.upload() 
+
+ # gets the uploaded filename
+image_path = list(uploaded.keys())[0] 
+image = cv2.imread(image_path)
+
+#inference part
+results = model(image_path)
+detections = sv.Detections.from_ultralytics(results[0])
+box_annotator = sv.BoxAnnotator()
+annotated_image = box_annotator.annotate(scene=image, detections=detections)
+from google.colab.patches import cv2_imshow
+
+# Show result image
+cv2_imshow(annotated_image)
+
+