# AUTOGENERATED! DO NOT EDIT! File to edit: gradio_deploy.ipynb.

# %% auto 0
__all__ = ['model', 'categories', 'input_img', 'output_img', 'examples', 'intf', 'predict_image', 'list_files_in_folder']

# %% gradio_deploy.ipynb 1
from fastai.vision.all import *
import gradio as gr

# %% gradio_deploy.ipynb 2
from ultralytics import YOLO
model = YOLO('./model/best.pt')

# %% gradio_deploy.ipynb 3
categories = ('Tarawa-class amphibious assault ship',
  'air carrier',
  'amphibious assault ship',
  'amphibious transport dock',
  'auxiliary ship',
  'barge',
  'bulk carrier',
  'car carrier',
  'combat boat',
  'command ship',
  'container ship',
  'cruiser',
  'destroyer',
  'fishing boat',
  'frigate',
  'hovercraft',
  'landing craft',
  'liquefied gas ship',
  'medical ship',
  'oil tanker',
  'passenger ship',
  'submarine')

def predict_image(img):
    m = model.predict(img)[0]
    m.save()
    # print(".\\results\\{}".format(l.path.split('\\')[-1]))
    a = PILImage.create("results_{}".format(m.path.split('\\')[-1]))
    # a.show()
    return a

# %% gradio_deploy.ipynb 4
input_img = gr.Image(height=640,width=640)
output_img = gr.Image(height=640,width=640)

import os

def list_files_in_folder(folder_path):
    # 获取该文件夹下所有文件名
    file_names = [os.path.join(folder_path, file) for file in os.listdir(folder_path) if os.path.isfile(os.path.join(folder_path, file))]
    return file_names


# 示例用法
examples=list_files_in_folder("examples")
examples

intf = gr.Interface(fn=predict_image,inputs=input_img,outputs=output_img,examples=examples)
intf.launch(inline=False)