app.py

import streamlit as st

# Simple app: convert user input into ASCII codes and binary labels

def string_to_binary_labels(s: str) -> list[int]:
    """
    Convert a string into a flat list of binary labels (0 or 1) representing
    each character's 8-bit ASCII code.
    """
    bits: list[int] = []
    for char in s:
        ascii_code = ord(char)
        # Extract 8-bit binary representation (MSB first)
        char_bits = [(ascii_code >> bit) & 1 for bit in range(7, -1, -1)]
        bits.extend(char_bits)
    return bits

st.title("ASCII & Binary Label Converter")
st.write("Enter text to see its ASCII codes and corresponding binary labels:")

user_input = st.text_input("Text Input", value="DNA")

if user_input:
    # Compute ASCII codes
    ascii_codes = [ord(c) for c in user_input]
    # Compute binary labels
    binary_labels = string_to_binary_labels(user_input)

    st.subheader("ASCII Codes")
    st.write(ascii_codes)

    st.subheader("Binary Labels")
    # Display bits grouped per character for readability
    grouped = [binary_labels[i:i+8] for i in range(0, len(binary_labels), 8)]
    for idx, bits in enumerate(grouped):
        st.write(f"'{user_input[idx]}' → {bits}")

    st.download_button(
        label="Download Binary Labels as CSV",
        data=','.join(str(b) for b in binary_labels),
        file_name="binary_labels.csv",
        mime="text/csv"
    )

# Future: integrate DNA editor mapping for each mutation site here