Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+
+st.set_page_config(page_title="Protein Repeat Comparator", layout="centered")
+st.title("🧬 Protein Repeat Comparator")
+st.write("Upload two Excel files containing protein repeat frequencies. The tool will compare the values and return a sorted Excel file based on frequency differences.")
+
+# File upload
+uploaded_file1 = st.file_uploader("Upload First Excel File", type=["xlsx"])
+uploaded_file2 = st.file_uploader("Upload Second Excel File", type=["xlsx"])
+
+if uploaded_file1 and uploaded_file2:
+    try:
+        # Read both Excel files
+        df1 = pd.read_excel(uploaded_file1)
+        df2 = pd.read_excel(uploaded_file2)
+
+        # Ensure structure compatibility
+        common_cols = df1.columns.intersection(df2.columns)
+        df1 = df1[common_cols]
+        df2 = df2[common_cols]
+
+        # Merge on Entry ID and Protein Name
+        merged = pd.merge(df1, df2, on=["Entry ID", "Protein Name"], suffixes=('_file1', '_file2'))
+
+        # Compute differences
+        repeat_cols = common_cols[2:]
+        diff_data = {
+            "Entry ID": merged["Entry ID"],
+            "Protein Name": merged["Protein Name"]
+        }
+
+        for col in repeat_cols:
+            diff_data[col + "_diff"] = (merged[col + "_file1"] - merged[col + "_file2"]).abs()
+
+        diff_df = pd.DataFrame(diff_data)
+        diff_df["Total Difference"] = diff_df.iloc[:, 2:].sum(axis=1)
+        sorted_diff = diff_df.sort_values(by="Total Difference", ascending=False)
+
+        # Save to Excel
+        output_file = "protein_repeat_comparison.xlsx"
+        sorted_diff.to_excel(output_file, index=False)
+
+        st.success("✅ Comparison complete!")
+        with open(output_file, "rb") as f:
+            st.download_button(
+                label="📥 Download Comparison Excel",
+                data=f,
+                file_name=output_file,
+                mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
+            )
+
+    except Exception as e: 
+        st.error(f"⚠️ Error: {e}")