Create app.py

app.py

@@ -0,0 +1,66 @@
+import streamlit as st
+from difflib import SequenceMatcher
+
+# Title and Description
+st.title("🔬 DNA Sequence Matching App")
+st.write("""
+This app allows you to compare two DNA sequences to determine their similarity.  
+It highlights matches, mismatches, and calculates an alignment score.
+""")
+
+# Sidebar Instructions
+st.sidebar.title("Instructions")
+st.sidebar.write("""
+1. Input two DNA sequences in the text boxes.  
+2. Click the **Compare Sequences** button.  
+3. View the results, including aligned sequences, match highlights, and the similarity score.
+""")
+
+# Input DNA Sequences
+st.subheader("Enter DNA Sequences:")
+seq1 = st.text_area("Sequence 1:", placeholder="Enter the first DNA sequence (e.g., ATCGTACG)...")
+seq2 = st.text_area("Sequence 2:", placeholder="Enter the second DNA sequence (e.g., ATGGTACC)...")
+
+# Compare Sequences Button
+if st.button("Compare Sequences"):
+    if not seq1 or not seq2:
+        st.error("Please enter both DNA sequences to compare!")
+    else:
+        # Function to align and highlight matches
+        def align_sequences(seq1, seq2):
+            matcher = SequenceMatcher(None, seq1, seq2)
+            alignment1, alignment2, highlight = "", "", ""
+
+            for opcode, a1, a2, b1, b2 in matcher.get_opcodes():
+                if opcode == "equal":
+                    alignment1 += seq1[a1:a2]
+                    alignment2 += seq2[b1:b2]
+                    highlight += "|" * (a2 - a1)
+                elif opcode == "replace" or opcode == "delete":
+                    alignment1 += seq1[a1:a2]
+                    alignment2 += "-" * (a2 - a1)
+                    highlight += " " * (a2 - a1)
+                elif opcode == "insert":
+                    alignment1 += "-" * (b2 - b1)
+                    alignment2 += seq2[b1:b2]
+                    highlight += " " * (b2 - b1)
+
+            return alignment1, alignment2, highlight
+
+        # Align sequences
+        aligned_seq1, aligned_seq2, highlights = align_sequences(seq1, seq2)
+
+        # Calculate similarity score
+        similarity = SequenceMatcher(None, seq1, seq2).ratio() * 100
+
+        # Display Results
+        st.subheader("Results:")
+        st.write("**Aligned Sequences:**")
+        st.code(aligned_seq1)
+        st.code(highlights)
+        st.code(aligned_seq2)
+        st.write(f"**Similarity Score:** {similarity:.2f}%")
+        st.write("---")
+
+# Footer
+st.write("🔍 **Developed by Abdullah**")