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Create appt.py
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appt.py
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import cv2
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import numpy as np
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import gradio as gr
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from ultralytics import YOLO
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def predict(path:str):
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model = YOLO("yolov8s.yaml")
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model = YOLO("best-underwater.pt")
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imagen = cv2.imread(path)
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results = model.predict(source=path)
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for r in results:
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return r.plot()
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css = """
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body {background-color: #ff0000;} """
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gr.Interface(fn=predict,
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inputs=gr.components.Image(type="filepath", label="Input"),
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outputs=gr.components.Image(type="numpy", label="Output"), css=css).launch(debug=False)
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