Blender Addon: Batch Smart Unwrap

batch_unwrap.py

import bpy
bl_info = {
    "name": "Batch Smart Unwrap",
    "description": "Unwraps all the selected objects one by one using Smart UV Project.",
    "author": "orels1 and Calo on blender StackExchange",
    "version": (1, 0),
    "blender": (2, 90, 0),
    "category": "Object",
}


class BatchSmartUnwrap(bpy.types.Operator):
    """Batch Smart Unwrapper"""
    bl_idname = "object.batch_smart_unwrap"
    bl_label = "Smart Unwrap Selected Objects"
    bl_options = {'REGISTER', 'UNDO'}

    def execute(self, context):
        selection_names = []

        for obj in bpy.context.selected_objects:
            if obj.type == 'MESH':
                selection_names.append(obj)
                obj.select_set(False)

        if selection_names != []:
            for obj in selection_names:
                bpy.context.view_layer.objects.active = obj
                if len(obj.data.uv_layers) == 0:
                    uv = obj.data.uv_layers.new(name="UVMap")
                    uv.active = True
                bpy.ops.object.editmode_toggle()
                bpy.ops.mesh.select_all(action='SELECT')
                bpy.ops.uv.smart_project(angle_limit=66.0, island_margin=0.2,
                                         area_weight=0.0, correct_aspect=True, scale_to_bounds=False)
                bpy.ops.object.editmode_toggle()
        print(f"Smart Unwrapped {len(selection_names)} objects")
        return {'FINISHED'}


def menu_func(self, context):
    self.layout.operator(BatchSmartUnwrap.bl_idname)


def register():
    bpy.utils.register_class(BatchSmartUnwrap)
    # Adds the new operator to an existing menu.
    bpy.types.VIEW3D_MT_object.append(menu_func)


def unregister():
    bpy.utils.unregister_class(BatchSmartUnwrap)


if __name__ == "__main__":
    register()

Can you edit this so that it uses the default Unwrap?
Also if possible, it will keep the settings you use? I see here it sets some specific settings for the Smart UV Project, but I want to do a normal Unwrap with a 0.04 margin.

I managed to do it myself, by changing line 34 and 35 to simply bpy.ops.uv.unwrap()