I have a dataframe df1 with all the columns are in string(100+ Columns), now i want to cast it to appropriate type with inferschema

Like, for example what we do if we have a csv file and we want the inferschame
val df = spark.read.format(“csv”).option(“header”, “true”).option(“inferSchema”, “true”).load(csvFilePath)

Expecting something like,
val df = df1.read.option(“inferSchema”, “true”)

A new df with appropriate datatype,

Note that we can’t change the df1
Need the solution that will work on databricks