How to get user defined input for defining threshold in python script

Question

Here basically I'm read a file of h5adfile format of a single cell data.

What I'm doing is to read the files and define a filter which I can do manually mean hardcoded which works.

My objective is build a function kind of where user just gives a h5ad file as input then define no of genes and no of cells to keep which can be used as filtering parameter for the single cell data.

So far my code is this

import loompy
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import scanpy as sc

sc.settings.verbosity = 3  # verbosity: errors (0), warnings (1), info (2), hints (3)
sc.settings.set_figure_params(dpi=80, color_map='Greys')
sc.logging.print_versions()

#Reading the data

adata = sc.read_h5ad('/Single_cell/cerebellar_development/508cf892-174c-45ab-b2dc-05f54f1ee7ed/aldinger20.processed.h5ad')
adata

obs: 'orig.ident', 'nCount_RNA', 'nFeature_RNA', 'sample_id', 'percent.mito', 'S.Score', 'G2M.Score', 'Phase', 'CC.Difference', 'nCount_SCT', 'nFeature_SCT', 'age', 'figure_clusters', 'sex', 'type', 'experiment', 'fig_cell_type', 'n_genes', 'n_genes_by_counts', 'total_counts', 'total_counts_mt', 'pct_counts_mt'
    var: 'name', 'n_cells', 'mt', 'n_cells_by_counts', 'mean_counts', 'pct_dropout_by_counts', 'total_counts'
    obsm: 'X_pca', 'X_umap', 'X_tsne'

#Next Step is where I define the filter

sc.pp.filter_cells(adata, min_genes=500)
sc.pp.filter_genes(adata, min_cells=10)
print(adata.n_obs, adata.n_vars)

#Once the above steps happen The next step is to save the filtered data file as h5ad format.

So to make it simple I this whole process to be automated sort of where it can take user input as file input and then define the filter then run the code and save the filtered output