Pandas move levels of a composite column as a value

Question

Let's imagine as a starting point I have a dataframe, similar to the one below (using a tuple for the composite columns):

Index, (ATop,AMiddle,ABottom,filt1_1, filt2_1), (ATop,AMiddle,ABottom,filt1_2,filt2_2)
  1,                    Value 1,                                Value 2

I want to reshape my df, such that the last 2 levels of the composite columns become columns in their own right. So:

Index, (ATop,AMiddle,ABottom), Filter1,   Filter2
  1,         Value 1,          filt1_1,   filt2_2,
  1,         Value 2,          filt2_1,   filt2_2,

You can see how the (ATop,AMiddle,ABottom) got extracted into a single column and we ended up with the filter columns to disambiguate the duplicates. The problem I am working on has more than one such groupings, e.g. (BTop,BMiddle,BBottom), etc.

I could appreciate this might sound a little weird, but let's imagine I have a UX grid displayer that wants the data in the latter form and I have my input given as shown above.

Additional info

The input / expected dfs from above:

import pandas as pd

input_df = pd.DataFrame({
    'Index': [1],
    ("ATop", "AMiddle", "ABottom" ,"filt1_1", "filt2_1"): ["Value 1"],
    ("ATop", "AMiddle", "ABottom" ,"filt1_2", "filt2_2"): ["Value 2"]
})

# ... some processing here ...

expected_df = pd.DataFrame({
    'Index': [1, 1],
    ("ATop", "AMiddle", "ABottom"): ["Value 1", "Value 2"],
    "Filter1": ["filt1_1", "filt1_2"],
    "Filter2": ["filt2_1", "filt2_2"]
})

Deeply appreciated!