How to solve for delimter conflicts

Question

I have a large .TXT file which is delimited by ";". Unfortunately some of my values contain ";" aswell, which in that case is not a delimiter but recognized as delimiter by pandas. Becasue of this I have difficulties reading the .txt. files into pandas because some lines have more columns than the others. Background: I am trying to combine several .txt files into 1 dataframe and get the following error: ParserError: Error tokenizing data. C error: Expected 21 fields in line 443, saw 22.

So when checking line 443 I saw indeed that that line had 1 more instance of ";" because it was part of one of the values.

Reproduction:

Text file 1:

1;2;3;4
23123213;23123213;23123213;23123213
123;123;123;123
123;123;123;123
1;1;1;1
123;123;123;123
12;12;12;12
3;3;3;3

Text file 2:

1;2;3;4
23123213;23123213;23123213;23123213
123;123;123;123
123;123;12;3;123
1;1;1;1
123;123;123;123
12;12;12;12
3;3;3;3

Code:

import pandas as pd
import glob
import os

path = r'C:\Users\file'
all_files = glob.glob(path + "/*.txt")
li = []
for filename in all_files:
    df = pd.read_csv(filename, index_col=None, header=0, delimiter=';')
    li.append(df)
frame = pd.concat(li, axis=0, ignore_index=True)