Update app.py

app.py

@@ -1,13 +1,5 @@
 import streamlit as st
-# import cv2
-# import Scraper
-# import Manager
-# import ImageProcessor
-# import TextProcessor
-# import Tagger
-# import Parser
 import os
-# import pickle
 from bs4 import BeautifulSoup
 import requests
 # import shutil
@@ -78,59 +70,5 @@ for c in cases:
     
     # st.write(opinions_df)
     st.divider()
-
-
-
-
-# volume = st.slider('Volume', 500, 550, 525)
-# r = requests.get('https://www.loc.gov/collections/united-states-reports/?fa=partof%3Au.s.+reports%3A+volume+'+str(volume) +'&st=list&c=250')
-# soup = BeautifulSoup(r.text)
-# html_links = soup.findAll('link',attrs={'rel': 'alternate'})
-# pdf_links = []
-# for hl in html_links:
-#     if len(hl['href'].split('/')[-1].split('.gif')[0])==  11:
-#         pdf_links.append(hl['href'].split('.gif')[0]+'.pdf')
-# case_num = st.slider('Case Number', 0, len(pdf_links), 1, step=1)
-# print(pdf_links)
-        
-
-# run = st.button("Run")
-# if run:
-#     with st.spinner("Downloading"):
-#         loc_link = pdf_links[case_num]
-#         if os.path.exists('PDF Cases/Temp'):
-#             shutil.rmtree('PDF Cases/Temp')
-#         Scraper.download_loc(loc_link)
-#         ImageProcessor.process_file('PDF Cases/Temp')
-#         TextProcessor.process_file('PDF Cases/Temp')
-#         Tagger.process_file('PDF Cases/Temp', draw=True)
-
-
-#         st.header('Opinions')
-#         opinions_df = pd.read_csv('PDF Cases/Temp/opinions.csv')
-#         types = opinions_df['Type'].tolist()
-#         author_sents = opinions_df['Author Sent'].tolist()
-#         texts = opinions_df['Text'].tolist()
-#         for (t, a_s) in zip(types, author_sents):
-#             st.text(t + ":\t" + a_s)
-
-#         tabs = st.tabs(types)
-#         for (i, tab) in enumerate(tabs):
-#             with tab:
-#                 paras = texts[i].split('<PARA>')
-#                 t = "</div><br/><div>".join(paras)
-#                 t = "<div>" + t
-#                 st.markdown(t, unsafe_allow_html=True)
-        
-#         st.divider()
-        
-#         cols = st.columns(4)
-#         image_filenames = [f for f in os.listdir('PDF Cases/Temp') if 'processed.png' in f]
-#         for (i,f) in enumerate(image_filenames):
-#             image = cv2.imread('PDF Cases/Temp/' + str(i) + '-processed.png')
-#             with cols[i%4]:
-#                 st.image(image)
-
-