updated frozenlake

            multi_modal_data = {

                img_placeholder: [convert_numpy_to_PIL(self.gym_env._render_gui(mode='rgb_array'))]

            }

            img_str = img_placeholder  # In the text, just use the placeholder

            observation = img_placeholder  # In the text, just use the placeholder

        else:

            # For text mode, generate a text grid representation

            room_state = self._get_text_representation()

            lookup = lambda cell: self.GRID_LOOKUP.get(cell, "?")

            img_str = "\n".join("".join(lookup(cell) for cell in row) for row in room_state)

            observation = "\n".join("".join(lookup(cell) for cell in row) for row in room_state)

        # Format the observation string using the appropriate template

        if init_obs:

            # Initial observation doesn't include action results

            obs_str = init_observation_template(img_str=img_str) + "\n" + format_prompt_text

            obs_str = init_observation_template(observation=observation) + "\n" + format_prompt_text

        else:

            # Subsequent observations include action results

            obs_str = action_template(

                valid_action=self.valid_actions,

                img_str=img_str,

                observation=observation,

            ) + "\n" + format_prompt_text

        # Return observation dictionary with appropriate fields

"""

def init_observation_template(**kwargs):

    img_str = kwargs.get("img_str", "The player is on the above the target")

    observation = kwargs.get("observation", "The player is on the above the target")

    return f"""[Initial Observation]:

{img_str}

{observation}

Decide your next action(s).

"""