I am having trouble loading data using sqlite3 in jupyter notebook with the following error message: 'no such table: rental'

I am doing a data analysis with Python course and I am struggling to load the salika.db data base to perform some analysis. salika.db is saved in the same location as the notebook.

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import numpy as npimport pandas as pdimport matplotlib.pyplot as plt import sqlite3 as sql%matplotlib inlineconn = sql.connect('sakila.db')df = pd.read_sql('''    SELECT        rental.rental_id, rental.rental_date, rental.return_date,        customer.last_name AS customer_lastname,        store.store_id,        city.city AS rental_store_city,        film.title AS film_title, film.rental_duration AS film_rental_duration,        film.rental_rate AS film_rental_rate, film.replacement_cost AS film_replacement_cost,        film.rating AS film_rating    FROM rental    INNER JOIN customer ON rental.customer_id == customer.customer_id    INNER JOIN inventory ON rental.inventory_id == inventory.inventory_id    INNER JOIN store ON inventory.store_id == store.store_id    INNER JOIN address ON store.address_id == address.address_id    INNER JOIN city ON address.city_id == city.city_id    INNER JOIN film ON inventory.film_id == film.film_id    ;''', conn, index_col='rental_id', parse_dates=['rental_date', 'return_date'])

I get the following error message:

---------------------------------------------------------------------------OperationalError                          Traceback (most recent call last)File /opt/conda/envs/anaconda-panel-2023.05-py310/lib/python3.11/site-packages/pandas/io/sql.py:2202, in SQLiteDatabase.execute(self, sql, params)   2201 try:-> 2202     cur.execute(sql, *args)   2203     return curOperationalError: no such table: rentalThe above exception was the direct cause of the following exception:DatabaseError                             Traceback (most recent call last)Cell In[4], line 5      1 # Loading the data      3 conn = sql.connect('sakila.db')----> 5 df = pd.read_sql('''      6     SELECT      7         rental.rental_id, rental.rental_date, rental.return_date,      8         customer.last_name AS customer_lastname,      9         store.store_id,     10         city.city AS rental_store_city,     11         film.title AS film_title, film.rental_duration AS film_rental_duration,     12         film.rental_rate AS film_rental_rate, film.replacement_cost AS film_replacement_cost,     13         film.rating AS film_rating     14     FROM rental     15     INNER JOIN customer ON rental.customer_id == customer.customer_id     16     INNER JOIN inventory ON rental.inventory_id == inventory.inventory_id     17     INNER JOIN store ON inventory.store_id == store.store_id     18     INNER JOIN address ON store.address_id == address.address_id     19     INNER JOIN city ON address.city_id == city.city_id     20     INNER JOIN film ON inventory.film_id == film.film_id     21     ;     22 ''', conn, index_col='rental_id', parse_dates=['rental_date', 'return_date'])File /opt/conda/envs/anaconda-panel-2023.05-py310/lib/python3.11/site-packages/pandas/io/sql.py:635, in read_sql(sql, con, index_col, coerce_float, params, parse_dates, columns, chunksize, dtype_backend, dtype)    633 with pandasSQL_builder(con) as pandas_sql:    634     if isinstance(pandas_sql, SQLiteDatabase):--> 635         return pandas_sql.read_query(    636             sql,    637             index_col=index_col,    638             params=params,    639             coerce_float=coerce_float,    640             parse_dates=parse_dates,    641             chunksize=chunksize,    642             dtype_backend=dtype_backend,  # type: ignore[arg-type]    643             dtype=dtype,    644         )    646     try:    647         _is_table_name = pandas_sql.has_table(sql)File /opt/conda/envs/anaconda-panel-2023.05-py310/lib/python3.11/site-packages/pandas/io/sql.py:2266, in SQLiteDatabase.read_query(self, sql, index_col, coerce_float, parse_dates, params, chunksize, dtype, dtype_backend)   2255 def read_query(   2256     self,   2257     sql,   (...)   2264     dtype_backend: DtypeBackend | Literal["numpy"] = "numpy",   2265 ) -> DataFrame | Iterator[DataFrame]:-> 2266     cursor = self.execute(sql, params)   2267     columns = [col_desc[0] for col_desc in cursor.description]   2269     if chunksize is not None:File /opt/conda/envs/anaconda-panel-2023.05-py310/lib/python3.11/site-packages/pandas/io/sql.py:2214, in SQLiteDatabase.execute(self, sql, params)   2211     raise ex from inner_exc   2213 ex = DatabaseError(f"Execution failed on sql '{sql}': {exc}")-> 2214 raise ex from excDatabaseError: Execution failed on sql '    SELECT        rental.rental_id, rental.rental_date, rental.return_date,        customer.last_name AS customer_lastname,        store.store_id,        city.city AS rental_store_city,        film.title AS film_title, film.rental_duration AS film_rental_duration,        film.rental_rate AS film_rental_rate, film.replacement_cost AS film_replacement_cost,        film.rating AS film_rating    FROM rental    INNER JOIN customer ON rental.customer_id == customer.customer_id    INNER JOIN inventory ON rental.inventory_id == inventory.inventory_id    INNER JOIN store ON inventory.store_id == store.store_id    INNER JOIN address ON store.address_id == address.address_id    INNER JOIN city ON address.city_id == city.city_id    INNER JOIN film ON inventory.film_id == film.film_id    ;': no such table: rental

I expected it create a dataframe from the data specified in my code.