# -*- coding: utf-8 -*-
"""Untitled200.ipynb

Automatically generated by Colab.

Original file is located at
    https://colab.research.google.com/drive/1XlVHPlSeue0mvagDZOzdk_wHjLmNlWM1
"""

#!pip install ultralytics
#!pip install requests
#!pip install pillow

from ultralytics import YOLO

# 모델 로드
model = YOLO("ship.pt")  # 학습된 모델 파일을 로드

# 이미지 추론
results = model("images.jpeg")  # 이미지 파일로 추론 수행

# 결과 시각화
results[0].show()  # 첫 번째 결과를 시각적으로 표시

#!pip install gradio

import gradio as gr
from ultralytics import YOLO

# 1. 모델 초기화
model = YOLO("ship.pt")

# 2. 추론 함수
def detect_ship(input_image: str):
    results = model(input_image)
    return results[0].plot()[:, :, ::-1]  # BGR to RGB 변환

# 3. Gradio UI
with gr.Blocks() as demo:
    with gr.Row():
        gr.Markdown("## Ship Detection")

    with gr.Row():
        input_image = gr.Image(label="Input Image", type="filepath")
        output_image = gr.Image(label="Output", type="numpy")

    with gr.Row():
        inference_btn = gr.Button("Inference")

    inference_btn.click(fn=detect_ship, inputs=input_image, outputs=output_image)

# 4. Gradio 실행
demo.launch(inline=False)

# 5. Gradio 종료
demo.close()