app.py

import gradio as gr

from queue import PriorityQueue

from datetime import datetime

pq = PriorityQueue()

date_format = '%m-%d-%Y at %H:%M'

import os 


def writer(pair):

    final = pair[1] + ' is due on '    
    final += f'{pair[0].month:02}-{pair[0].day:02}-{pair[0].year} at '
    final += f'{pair[0].hour:02}:{pair[0].minute:02}'

    return final


def string_rep(pq):

    work = ""

    temp = PriorityQueue()

    while not pq.empty():

        elem = pq.get()
        temp.put(elem)
        work += writer(elem) + '\n'

    pq.queue = temp.queue

    return work


def inputter(date_str = None, item_name = None, add = "Show"):

    if add == "Show":

        return string_rep(pq)

    cur_date = datetime.strptime(date_str, date_format)
    item_name = item_name.strip()

    if add == "Add":

        pq.put((cur_date, item_name))

    else:

        remove((cur_date, item_name))

    return string_rep(pq)



def remove(element):

    temp = PriorityQueue()

    while not pq.empty():

        elem = pq.get()
        if elem != element:
            
            temp.put(elem)

    pq.queue = temp.queue


datalink = gr.Textbox(label="Enter your data link here:", placeholder="e.g., https://sample_data.tar.gz")

databox = gr.Textbox(label="Enter your data type here:", placeholder="e.g., images, genome, binary")

augbox = gr.Textbox(label="Enter your data augmentation methods here:", placeholder="Enter as list e.g., [flip, rotate]")

machinebox = gr.Textbox(label="Enter your machine type:", placeholder="e.g., transformer, SVM, CNN")

featurebox = gr.Textbox(label="Enter your features type:", placeholder="e.g., KL-expansion, Lagragians")

ouputbox = gr.Textbox(label="Output", placeholder="Accuracy: 100%", lines  = 10)

iface = gr.Interface(
    fn=inputter,  
    inputs=[datalink, databox, augbox, featurebox, machinebox],  
    outputs=ouputbox,  
    title="Cancer Metapipeline",
)

iface.launch()