Upload 3 files

app.py

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+import gradio as gr
+from ultralytics import YOLO
+
+# Load the YOLO model
+model = YOLO('best.pt')
+
+def predict(img):
+
+    results = model(img)
+    annotated_frame = results[0].plot()
+    return annotated_frame
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=predict,
+    inputs=gr.Image(label="Input Image", type="filepath"),
+    outputs="image",
+    title="Rat Paw Detector",
+    description="Upload an image to detect rat paws"
+)
+
+# Launch the Gradio interface
+iface.launch(share=True)

best.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:016663c7243bbaf34fe923ddec534fb32bf558efa7b326f6a3b9adcb581de29c
+size 6209625

requirements.txt

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+ultralytics
+gradio
+numpy
+pillow