Not sure what are you trying to achieve by this approach. But you could read a SQL

from databricks_api import DatabricksAPI
import base64
import re

notebook_context = dbutils.notebook.entry_point.getDbutils().notebook().getContext()
databricks_api_instance = DatabricksAPI(
    host=notebook_context.apiUrl().getOrElse(None),
    token=notebook_context.apiToken().getOrElse(None),
)

response = databricks_api_instance.workspace.export_workspace(
    f"<PATH OF NOTEBOOK A IN WORKSPACE>",
    format="SOURCE",
    direct_download=None,
    headers=None,
)

notebook_content = base64.b64decode(response["content"]).decode("utf-8")

exclude = [".*Databricks notebook source", ".*MAGIC.*"]
regex = re.compile("|".join(exclude))
queries = list(
    filter(None, [s.strip() for s in re.sub(regex, "", notebook_content).split("-- COMMAND ----------")])
)

# [spark.sql(query).display() for query in queries]