Delete appStore/classifier.py

appStore/classifier.py

@@ -1,116 +0,0 @@
-# set path
-import glob, os, sys; 
-sys.path.append('../utils')
-from setfit import SetFitModel
-#import needed libraries
-#import seaborn as sns
-#import matplotlib.pyplot as plt
-#import numpy as np
-#import pandas as pd
-#import streamlit as st
-from utils.groups_classifier import load_groupsClassifier, groups_classification
-#import logging
-#logger = logging.getLogger(__name__)
-from utils.config import get_classifier_params
-#from utils.preprocessing import paraLengthCheck
-#from io import BytesIO
-#import xlsxwriter
-#import plotly.express as px
-
-vg_model = SetFitModel.from_pretrained("leavoigt/vulnerable_groups")
-
-
-# Retrieve the necessary paramaters
-classifier_identifier = 'group_classification'
-params  = get_classifier_params(classifier_identifier)
-
-def app(): 
-
-     ### Main app code ###
-     with st.container():
-         
-         # Classify groups
-         df = group_classification(haystack_doc=df, threshold= params['threshold'])
-        
- def groups_display():
-#     if  'key1' in st.session_state:
-#         df = st.session_state.key1
-                
-        
-#         df['Action_check']  = df['Policy-Action Label'].apply(lambda x: True if 'Action' in x else False)
-#         hits  = df[df['Action_check'] == True]
-#         # hits['GHG Label'] = hits['GHG Label'].apply(lambda i: _lab_dict[i])
-#         range_val = min(5,len(hits))
-#         if range_val !=0:
-#             count_action = len(hits)
-
-#             st.write("")
-#             st.markdown("###### Top few Action Classified paragraph/text results from list of {} classified paragraphs ######".format(count_action))
-#             st.markdown("""<hr style="height:10px;border:none;color:#097969;background-color:#097969;" /> """, unsafe_allow_html=True)
-#             range_val = min(5,len(hits))
-#             for i in range(range_val):
-#                 # the page number reflects the page that contains the main paragraph 
-#                 # according to split limit, the overlapping part can be on a separate page
-#                 st.write('**Result {}** : `page {}`, `Sector: {}`,\
-#                             `Indicators: {}`, `Adapt-Mitig :{}`'\
-#                     .format(i+1,
-#                             hits.iloc[i]['page'], hits.iloc[i]['Sector Label'],
-#                             hits.iloc[i]['Indicator Label'],hits.iloc[i]['Adapt-Mitig Label']))                        
-#                 st.write("\t Text: \t{}".format(hits.iloc[i]['text'].replace("\n", " ")))
-#             hits = hits.reset_index(drop =True)
-#             st.write('----------------')
-#             st.write('Explore the data')
-#             st.write(hits)
-#             df.drop(columns = ['Action_check'],inplace=True)
-#             df_xlsx = to_excel(df)
-            
-#             with st.sidebar:
-#                 st.write('-------------')
-#                 st.download_button(label='📥 Download Result',
-#                             data=df_xlsx ,
-#                             file_name= 'cpu_analysis.xlsx')
-
-#         else:
-#             st.info("🤔 No Actions found")
-
-
-# def groups_display():
-#     if  'key1' in st.session_state:
-#         df = st.session_state.key1
-                
-        
-#         df['Policy_check']  = df['Policy-Action Label'].apply(lambda x: True if 'Policies & Plans' in x else False)
-#         hits  = df[df['Policy_check'] == True]
-#         # hits['GHG Label'] = hits['GHG Label'].apply(lambda i: _lab_dict[i])
-#         range_val = min(5,len(hits))
-#         if range_val !=0:
-#             count_policy = len(hits)
-    
-#             st.write("")
-#             st.markdown("###### Top few Policy/Plans Classified paragraph/text results from list of {} classified paragraphs ######".format(count_policy))
-#             st.markdown("""<hr style="height:10px;border:none;color:#097969;background-color:#097969;" /> """, unsafe_allow_html=True)
-#             range_val = min(5,len(hits))
-#             for i in range(range_val):
-#                 # the page number reflects the page that contains the main paragraph 
-#                 # according to split limit, the overlapping part can be on a separate page
-#                 st.write('**Result {}** : `page {}`, `Sector: {}`,\
-#                             `Indicators: {}`, `Adapt-Mitig :{}`'\
-#                     .format(i+1,
-#                             hits.iloc[i]['page'], hits.iloc[i]['Sector Label'],
-#                             hits.iloc[i]['Indicator Label'],hits.iloc[i]['Adapt-Mitig Label']))                        
-#                 st.write("\t Text: \t{}".format(hits.iloc[i]['text'].replace("\n", " ")))
-#             hits = hits.reset_index(drop =True)
-#             st.write('----------------')
-#             st.write('Explore the data')
-#             st.write(hits)
-#             df.drop(columns = ['Policy_check'],inplace=True)
-#             df_xlsx = to_excel(df)
-            
-#             with st.sidebar:
-#                 st.write('-------------')
-#                 st.download_button(label='📥 Download Result',
-#                             data=df_xlsx ,
-#                             file_name= 'vulnerable_groups.xlsx')
-
-#         else:
-#             st.info("🤔 No Groups found")