Inner Join for xml file in Pandas library

Question

I have an xml file name 'Analysis_1.csv' that looks like this:

Application_ID    MEETING_FILE_TYPE
BBC#:1010         1     
NBA#:1111         2
BRC#:1212         1
SAC#:1412         4
QRD#:1912         2
BBA#:1092         4

How can I use the INNER JOIN function to return all the Application_ID records that have matching values in both MEETING_FILE_TYPE 1 & 2 rows? My code so far:

import pandas as pd
import plotly.express as px
import streamlit as st

st.set_page_config(page_title='Matching Application Number', 
                   layout='wide')
df = pd.read_csv('Analysis_1.csv')

st.sidebar.header("Filter Data:")
MeetingFileType = st.sidebar.multiselect(
    "Select File Type:",
    options=df['MEETING_FILE_TYPE'].unique(),
    default=df['MEETING_FILE_TYPE'].unique()
)

df_selection = df.query(
    'MEETING_FILE_TYPE == @MeetingFileType'
)

st.dataframe(df_selection) 

How can I change my 'MeetingFileType' into an INNER JOIN, so that I will have this result below:

Filter Data:               Application_ID     MEETING_FILE_TYPE
select type:               BBC#:1010          1 
1 2                        NBA#:1111          2
                           BRC#:1212          1
                           QRD#:1912          2