app.py

import streamlit as st
import os
import torch
#import math
import numpy as np
#import matplotlib.pyplot as plt
#import pathlib
#from AtomLenz import *
#from utils_graph import *
#from Object_Smiles import Objects_Smiles 

#from robust_detection import wandb_config
from robust_detection import utils
from robust_detection.models.rcnn import RCNN
from robust_detection.data_utils.rcnn_data_utils import Objects_RCNN, COCO_RCNN

import pytorch_lightning as pl
from pytorch_lightning.loggers import WandbLogger
from pytorch_lightning.loggers import CSVLogger
from pytorch_lightning.callbacks.model_checkpoint import ModelCheckpoint
from pytorch_lightning.callbacks.early_stopping import EarlyStopping
from pytorch_lightning.callbacks import LearningRateMonitor
from rdkit import Chem
from rdkit.Chem import AllChem
from rdkit import DataStructs

x = st.slider('Select a value')
st.write(x, 'squared is', x * x)