[Python] .csv -> .db taking WAY too long

My code (python) works, but at the rate it's running it'll take 72 hours to finish. I'm trying to turn a csv file into a database file in hopes that it'll be easier to use and access the data in it (before i'd spend 2 minutes waiting for python to load the csv into a list every time I ran any code using it).

Is there any way I can make this code run faster?

from datetime import date

#works = "Out_Files\works-20210226.csv"
#tags = "Out_Files\tags-20210226.csv"

with sqlite3.connect("2025\works-20210226.db") as con:
cur = con.cursor()
cmd = "CREATE TABLE works (creation_date INT, language STRING, restricted INT, complete INT, word_count INT, tags STRING)"
cur.execute(cmd)
con.commit()
with open("Out_Files\works-20210226.csv", 'r', encoding='utf-8') as f:
i = 0
next = f.readline()
next = f.readline()
while next:
thedate,language,restricted,complete,word_count,tags = next.split(",")
thedate = [int(each) for each in thedate.split("-")]
thedate = date(thedate[0], thedate[1], thedate[2]).toordinal()
restricted = int(restricted == "true")
complete = int(complete == 'true')
word_count = int(word_count) if word_count else 0

cmd = f"INSERT INTO works VALUES ({thedate}, '{language}', {restricted}, {complete}, {word_count}, '{tags}')"
cur.execute(cmd)
con.commit()

next = f.readline()
i += 1
print(i)

cmd = "SELECT * FROM works WHEN word_count = 1836"
print(cur.execute(cmd))


I'm currently at i = 733,590 out of 7,269,695

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