import os, sys
import warnings; warnings.filterwarnings("ignore")


import pandas, numpy as np
import pandas as pd
import gradio as gr
#import argparse
#import random
#import neurokit2 as nk
import torch
import torch.nn as nn, torch.optim as optim
import torch.nn.functional as F
import torch.nn.utils.prune as prune
#import captum.attr as attr
#import matplotlib.pyplot as pyplot
#from sklearn.metrics import f1_score
from tensorflow.keras.models import load_model
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.preprocessing.sequence import pad_sequences
import h5py
import scipy.signal as sgn
from sierraecg import read_file
import ecg_plot


#!pip install pandas 
#!pip install torch 
#!pip install gradio
#!pip install tesorflow 
#!pip install sierraecg