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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) |