Web Scrapping/Transforming data into tabular data in Python

Objective: I am trying to pull data from the Detailed forecast section on this weather forecast website. Then I am trying to put that data in a tabular data frame using pandas

Question: I get an error in the last line - could I get some advice, please?

This is my code thus far:

import csv
import requests
from bs4 import BeautifulSoup
from IPython.display import HTML
!pip install BS4
!pip install Requests
!pip install lxml

page = requests.get("http://forecast.weather.gov/MapClick.php?lat=37.7772&lon
soup = BeautifulSoup(page.content, 'html.parser')
seven_day = soup.find(id="detailed-forecast")
forecast_items = seven_day.find_all(class_="panel-body")
tonight = forecast_items[0]
 print(tonight.prettify())

 period = tonight.find(class_="col-sm-2 forecast-label").get_text()
 short_desc = tonight.find(class_="col-sm-10 forecast-text").get_text()

 print(period)
 print(short_desc)

 period_tags = seven_day.select(".panel-body.col-sm-10 forecast-text")
 periods = [pt.get_text() for pt in period_tags]
 short_descs = [sd.get_text() for sd in seven_day.select(".panel-body .col-smtemps
  = [t.get_text() for t in seven_day.select(".tombstone-container .temp")

 import pandas as pd
 weather = pd.DataFrame({
 "period": period,
 "short_desc": desc,

  })
  weather