Update app.py

app.py

@@ -413,6 +413,35 @@ with tab5:
         st.subheader("Decoded String (Ascending 3244→4882)")
         st.write(decoded_asc)
 
+        # === Robot Preparation Script from 32-bit Binary ===
+        st.subheader("Robot Preparation Script from 32-bit Binary")
+        robot_template_32 = pd.read_csv("/home/user/app/Robot.csv", skiprows=3)
+        robot_template_32.columns = ['Labware', 'Source', 'Labware_2', 'Destination', 'Volume', 'Tool', 'Name']
+
+        df_32_robot = df_32.copy()
+        df_32_robot.insert(0, 'Sample', range(1, len(df_32_robot)+1))
+        df_32_robot['# donors'] = df_32_robot.iloc[:, 1:].sum(axis=1)
+        df_32_robot['volume donors (µl)'] = 32 / df_32_robot['# donors']
+
+        robot_script_32 = []
+        source_wells_32 = robot_template_32['Source'].unique().tolist()
+        if len(source_wells_32) < df_32.shape[1]:
+            source_wells_32 += [f"Fake{i}" for i in range(df_32.shape[1] - len(source_wells_32))]
+        source_wells_32 = source_wells_32[:df_32.shape[1]]
+
+        for i, col in enumerate(df_32.columns):
+            for row_idx, sample in df_32_robot.iterrows():
+                if sample[col] == 1:
+                    source = source_wells_32[i]
+                    dest = f"A{sample['Sample']}"
+                    vol = round(sample['volume donors (µl)'], 2)
+                    robot_script_32.append({'Source': source, 'Destination': dest, 'Volume': vol})
+
+        robot_script_32_df = pd.DataFrame(robot_script_32)
+        st.dataframe(robot_script_32_df)
+        st.download_button("Download Robot Script (32-bit)", robot_script_32_df.to_csv(index=False), "robot_script_32bit.csv", key="download_robot_32")
+
+
     st.markdown("---")
 
     # ========== 31-BIT DECODING ==========