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from pathlib import Path
from typing import List, Dict, Tuple
import matplotlib.colors as mpl_colors
import pandas as pd
import seaborn as sns
import shinyswatch
import run
import PIL
from shiny import App, Inputs, Outputs, Session, reactive, render, req, ui
from transformers import SamModel, SamConfig, SamProcessor
import torch
sns.set_theme()
www_dir = Path(__file__).parent.resolve() / "www"
app_ui = ui.page_fillable(
shinyswatch.theme.minty(),
ui.layout_sidebar(
ui.sidebar(
ui.input_file("image_input", "Upload image: ", multiple=True),
),
ui.output_image("image"),
ui.output_image("image_output"),
ui.output_image("prediction"),
ui.output_image("prob")
),
)
def server(input: Inputs, output: Outputs, session: Session):
@output
@render.image
def image():
here = Path(__file__).parent
if input.image_input():
src = input.image_input()[0]['datapath']
img = {"src": src, "width": "500px"}
return img
return None
@output
@render.image
def image_output():
here = Path(__file__).parent
if input.image_input():
src = input.image_input()[0]['datapath']
img = {"src": src, "width": "500px"}
x = run.pred(src)
print(x)
return img
return None
app = App(
app_ui,
server,
static_assets=str(www_dir),
) |