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from fastai.vision.all import *
from fastai.distributed import *
from fastai.vision.models.xresnet import *

path = rank0_first(untar_data, URLs.PETS)
def get_y(o): return o[0].isupper()

dls = ImageDataLoaders.from_name_func(
    path=path, 
    fnames=get_image_files(path), 

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# %%
# [Virtual Zoom Gesture using OpenCV Python | CVZone](https://www.youtube.com/watch?v=VPaFV3QBsEw)
# --- Murtaza Hassan ---
# Code & Resources: n/a

# %%
# [start]____________________________________________________________
import cv2 as cv
from cvzone.HandTrackingModule import HandDetector

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import streamlit as st

blank_choice = "<----->"
options = [
    [
        blank_choice,
        "Option 1",
        "Option 2",
        "Option 3",
    ],

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import streamlit as st
import time

form = st.sidebar.form("form", clear_on_submit=True)
with form:
    form.write("**`Choose a box :`**")
    tick_boxes = form.columns(3)
    col_labels = [col.write(f"`Option {idx + 1}`") for idx, col in enumerate(tick_boxes)]
    values = [
        col.checkbox(f"{idx + 1}", key=f"{idx+1}", value=False)

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import streamlit as st
import string
import time
import dataclasses

# [start] [persistent states]__________________________________________
@dataclasses.dataclass
class gameState:
    # HangMan
    hm_word: str = ""