Import a text file content that contains statements that are intended to be in a zeppelin notebook, in multiple cells - apache-zeppelin

Question

Accompanying a book I'm learning from, are files like this one, obviously depicting a Zeppelin notebook content:
spark
// COMMAND ----------
// in Scala
val myRange = spark.range(1000).toDF("number")
// COMMAND ----------
// in Scala
val divisBy2 = myRange.where("number % 2 = 0")
// COMMAND ----------
divisBy2.count()
// COMMAND ----------
// in Scala
val flightData2015 = spark
.read
.option("inferSchema", "true")
.option("header", "true")
.csv("/data/flight-data/csv/2015-summary.csv")
// COMMAND ----------
flightData2015.take(3)
// COMMAND ----------
flightData2015.sort("count").explain()
// COMMAND ----------
spark.conf.set("spark.sql.shuffle.partitions", "5")
// COMMAND ----------
flightData2015.sort("count").take(2)
// COMMAND ----------
flightData2015.createOrReplaceTempView("flight_data_2015")
// COMMAND ----------
// in Scala
val sqlWay = spark.sql("""
SELECT DEST_COUNTRY_NAME, count(1)
FROM flight_data_2015
GROUP BY DEST_COUNTRY_NAME
""")
val dataFrameWay = flightData2015
.groupBy('DEST_COUNTRY_NAME)
.count()
sqlWay.explain
dataFrameWay.explain
// COMMAND ----------
spark.sql("SELECT max(count) from flight_data_2015").take(1)
// COMMAND ----------
// in Scala
import org.apache.spark.sql.functions.max
flightData2015.select(max("count")).take(1)
// COMMAND ----------
// in Scala
val maxSql = spark.sql("""
SELECT DEST_COUNTRY_NAME, sum(count) as destination_total
FROM flight_data_2015
GROUP BY DEST_COUNTRY_NAME
ORDER BY sum(count) DESC
LIMIT 5
""")
maxSql.show()
// COMMAND ----------
// in Scala
import org.apache.spark.sql.functions.desc
flightData2015
.groupBy("DEST_COUNTRY_NAME")
.sum("count")
.withColumnRenamed("sum(count)", "destination_total")
.sort(desc("destination_total"))
.limit(5)
.show()
// COMMAND ----------
// in Scala
flightData2015
.groupBy("DEST_COUNTRY_NAME")
.sum("count")
.withColumnRenamed("sum(count)", "destination_total")
.sort(desc("destination_total"))
.limit(5)
.explain()
// COMMAND ----------
But how may I load such a text file as a notebook, if it is intended for,
a way where each // COMMAND ------- would be splat into a Zeppelin cell?
From what I can see in Zeppelin, I can only:
either import a notebook file, but then its of .json kind or .ipynb.
or paste the whole content of my file into a single cell, then split it manually.
How can I handle this kind of file the most conveniently?