[BUG] .str.replace leading to data-corruption when a non-string is passed

[galipremsagar]

Describe the bug
When the replacement value is not a string, there appears to be a data-corruption in .str.replace

Steps/Code to reproduce bug

In [1]: import cudf

In [2]: idx = cudf.Index(['a', 'b', 'c'])

In [3]: idx.str.replace("a", 3)
Out[3]: Index(['', 'b', 'c'], dtype='object')

In [4]: idx.to_pandas().str.replace("a", 3)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[4], line 1
----> 1 idx.to_pandas().str.replace("a", 3)

File /datasets/pgali/envs/cudfdev/lib/python3.12/site-packages/pandas/core/strings/accessor.py:137, in forbid_nonstring_types.<locals>._forbid_nonstring_types.<locals>.wrapper(self, *args, **kwargs)
    132     msg = (
    133         f"Cannot use .str.{func_name} with values of "
    134         f"inferred dtype '{self._inferred_dtype}'."
    135     )
    136     raise TypeError(msg)
--> 137 return func(self, *args, **kwargs)

File /datasets/pgali/envs/cudfdev/lib/python3.12/site-packages/pandas/core/strings/accessor.py:1548, in StringMethods.replace(self, pat, repl, n, case, flags, regex)
   1546 # Check whether repl is valid (GH 13438, GH 15055)
   1547 if not (isinstance(repl, str) or callable(repl)):
-> 1548     raise TypeError("repl must be a string or callable")
   1550 is_compiled_re = is_re(pat)
   1551 if regex or regex is None:

TypeError: repl must be a string or callable