create a new column to show the quintile in groupby

Edit: I got several answers below, but as I commented at each of the answers, they seem not to work together with a groupby function. I often got errors such as ‘TypeError: invalid type comparison‘

I want to create a new column that shows the quintile of the value columns. The sample data is shown below:

d = {'group1': ['A', 'A', 'A', 'A', 'A','B','B','B','B','B'], 'group2': ['a','b','a','b','a','b','a','b','a','b'],
     'value': [1,2,3,4,5,6,7,8,9,10]}
df = pd.DataFrame(d)

group1  group2  value
A      a       1
A      b       2
A      a       3
A      b       4
A      a       5
B      b       6
B      a       7
B      b       8
B      a       9
B      b      10

I want the result to be

group1  group2  value   quintile 
A      a       1       1
A      b       2       1
A      a       3       2
A      b       4       2
A      a       5       3
B      b       6       3
B      a       7       4
B      b       8       4
B      a       9       5
B      b       10      5

I tried several approaches, but they don’t work. For example, the following is what I tried:

df['quintile'] = df.groupby(['group1','group2'])['value'].quintile()

df = pd.DataFrame(np.arange(10), columns=['value'])
df['quintile'] = pd.qcut(df['value'], 5, labels=False)
df

  value quintile
1   1   0
2   2   1
3   3   1
4   4   2
5   5   2
6   6   3
7   7   3
8   8   4
9   9   4
10  10   5

df.groupby(['group1','group2'])['value'].quantile()

pd.cut(df['value'], bins=5, labels=[x for x in range(1,6)])