StreamlitDataScienceWebApp/SimpleBioInformaticsDNA/app.py

######################
# Importing Libraries#
######################

import pandas as pd
import streamlit as st
import altair as alt
from PIL import Image

######################
# Page Title         #
######################

image=Image.open('dna-logo.png')

st.image(image, use_column_width=True)

st.write("""
         # DNA Nucleotide Counter App
              
            This app counts the nucleotide composition of query DNA!
         ***
            """)

######################
# Input Text Box    #
######################

st.header('Enter DNA sequence')
sequence_input= ">DNA Query 1 \nGATGGAACTTGACTACGTAAATT\nTGACAGTTACCAATGCTTAATC\nGCGTACGAATTTAGCCTAGCG\nTTAGCTAGCTAGCTACGATCG\n"

#sequence= st.sidebar.text_area("Sequence input", sequence_input, height=250)
sequence= st.text_area("Sequence input", sequence_input, height=250)
sequence= sequence.splitlines()
sequence= sequence[1:] # Skipping the first line
sequence= ''.join(sequence) # Joining list to string    
st.write("""
         ***
         """)
## Ping the input sequence
st.header('Input DNA Sequence')
st.text(sequence)
######################
# DNA Nucleotide Count#
######################
st.header('DNA Nucleotide Count')

# Count nucleotides
nucleotide_counts = {
    'A': sequence.count('A'),
    'T': sequence.count('T'),
    'G': sequence.count('G'),
    'C': sequence.count('C')
}

# Display counts
st.subheader('Nucleotide Counts')
for nucleotide, count in nucleotide_counts.items():
    st.write(f"{nucleotide}: {count}")