Handle legacy 'Unknown' sex values gracefully

- Silently convert 'Unknown' to empty string in validation
- Handle 'Unknown' in update_settings_column function
- Prevents 'Unknown is not in choices' error from Gradio
- Update uv.lock for Python version constraint
- Users will need to manually select Male/Female for analysis

src/mosaic/ui/app.py

@@ -433,6 +433,9 @@ def launch_gradio(server_name, server_port, share):
             # Convert None to empty string for display (especially for Sex column)
             if new_value is None:
                 new_value = ""
+            # Convert legacy "Unknown" sex values to empty string
+            if column_name == "Sex" and new_value == "Unknown":
+                new_value = ""
             updated_df[column_name] = new_value
             return updated_df
 

src/mosaic/ui/utils.py

@@ -183,8 +183,11 @@ def validate_settings(
             settings_df.at[idx, "Site Type"] = "Primary"
         # Only warn about invalid sex values that are not empty/None
         # Empty/None will be validated at analysis time
+        # Convert old "Unknown" values to empty string silently
         sex_value = row["Sex"]
-        if sex_value and sex_value not in SEX_OPTIONS:
+        if sex_value == "Unknown":
+            settings_df.at[idx, "Sex"] = ""
+        elif sex_value and sex_value not in SEX_OPTIONS:
             warnings.append(
                 f"Slide {slide_name}: Invalid sex value '{sex_value}'. Valid options are: {', '.join(SEX_OPTIONS)}. "
             )