Update app.py

app.py

@@ -1,8 +1,6 @@
 import streamlit as st
-from PIL import Image, ImageFilter
 import numpy as np
 import pandas as pd
-from streamlit_cropper import st_cropper
 
 # Mutation site headers removed 3614,
 mutation_site_headers_actual = [
@@ -80,8 +78,8 @@ with tab1:
         ascii_codes = [reverse_voyager_table.get(c.upper(), 0) for c in user_input]
         binary_labels = string_to_binary_labels(user_input)
 
-        st.subheader("Voyager ASCII Codes")
-        st.write(ascii_codes)
+        # st.subheader("Voyager ASCII Codes")
+        # st.write(ascii_codes)
 
         st.subheader("Binary Labels per Character")
         grouped = [binary_labels[i:i+6] for i in range(0, len(binary_labels), 6)]
@@ -107,7 +105,6 @@ with tab1:
             idx = df_sorted.columns.get_loc("3562") + 1  # Insert after 3562
             df_sorted.insert(idx, "3614", 0)
 
-        st.write(df_sorted.head(1))
         st.subheader("Binary Labels (Ascending Order 3244 → 4882)")
         st.dataframe(df_sorted)
         st.download_button("Download Ascending Order CSV", df_sorted.to_csv(index=False), "text_binary_labels_ascending.csv", key="download_csv_tab1_ascend")
@@ -149,6 +146,29 @@ with tab1:
         st.dataframe(robot_script_df)
         st.download_button("Download Robot Script CSV", robot_script_df.to_csv(index=False), "robot_script.csv", key="download_csv_tab1_robot")
 
+        # === Robot Preparation Script (Based on Ascending Order 3244 → 4882) ===
+        st.subheader("Robot Preparation Script (Based on Ascending Order 3244 → 4882)")
+        
+        df_sorted_ascend = df_sorted.copy()
+        df_sorted_ascend.insert(0, 'Sample', range(1, len(df_sorted_ascend)+1))
+        
+        df_sorted_ascend['# donors'] = df_sorted_ascend.iloc[:, 1:].sum(axis=1)
+        df_sorted_ascend['volume donors (µl)'] = 32 / df_sorted_ascend['# donors']
+        
+        robot_script_ascend = []
+        # Use the same source wells (length should be 32 already)
+        for i, col in enumerate(df_sorted_ascend.columns[1:33]):  # 32 binary columns
+            for row_idx, sample in df_sorted_ascend.iterrows():
+                if sample[col] == 1:
+                    source = source_wells[i]
+                    dest = f"A{sample['Sample']}"
+                    vol = round(sample['volume donors (µl)'], 2)
+                    robot_script_ascend.append({'Source': source, 'Destination': dest, 'Volume': vol})
+        
+        robot_script_ascend_df = pd.DataFrame(robot_script_ascend)
+        st.dataframe(robot_script_ascend_df)
+        st.download_button("Download Ascending Robot Script CSV", robot_script_ascend_df.to_csv(index=False), "robot_script_ascending.csv", key="download_csv_tab1_robot_ascend")
+
 
 # Tab 2: EF → Binary
 with tab2: