Create tapp_display.py

appStore/tapp_display.py

@@ -0,0 +1,70 @@
+# set path
+import glob, os, sys; 
+sys.path.append('../utils')
+
+#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 st_aggrid import AgGrid
+import logging
+logger = logging.getLogger(__name__)
+from io import BytesIO
+import xlsxwriter
+import plotly.express as px
+from pandas.api.types import (
+    is_categorical_dtype,
+    is_datetime64_any_dtype,
+    is_numeric_dtype,
+    is_object_dtype,
+    is_list_like)
+
+
+           
+            
+def targets():
+    if 'key1' in st.session_state:
+        df = st.session_state['key1'].copy()
+        idx = df['NetzeroLabel_Score'].idxmax()
+        netzero_placeholder = df.loc[idx, 'text']
+        df = df.drop(df.filter(regex='Score').columns, axis=1)
+        df = df[df.TargetLabel==True].reset_index(drop=True)
+        df['keep'] = True
+        st.session_state['target_hits'] = df
+        st.session_state['netzero'] = netzero_placeholder
+    
+def target_display():
+    if 'key1' in st.session_state:
+        st.caption(""" **{}** is splitted into **{}** paragraphs/text chunks."""\
+                          .format(os.path.basename(st.session_state['filename']),
+                                 len(st.session_state['key0'])))   
+        
+        hits  = st.session_state['target_hits']
+        if len(hits) !=0:
+            # collecting some statistics
+            count_target = sum(hits['TargetLabel'] == True)
+            count_ghg = sum(hits['GHGLabel'] == True)
+            count_netzero = sum(hits['NetzeroLabel'] == True)
+            count_nonghg = sum(hits['NonGHGLabel'] == True)
+            count_Mitigation = sum(hits['MitigationLabel'] == True)
+            count_Adaptation = sum(hits['MitigationLabel'] == True)
+            
+
+            c1, c2 = st.columns([1,1])
+            with c1:
+                st.write('**Target Related Paragraphs**: `{}`'.format(count_target))
+                st.write('**Netzero Related Paragraphs**: `{}`'.format(count_netzero))
+            with c2:
+                st.write('**GHG Target Related Paragraphs**: `{}`'.format(count_ghg))
+                st.write('**NonGHG Target Related Paragraphs**: `{}`'.format(count_nonghg))
+            st.write('----------------')
+
+            if count_netzero !=0:
+                st.write("NetZero Target:",st.session_state['netzero'])
+            else:
+                st.info("🤔 No Netzero paragraph found")
+            #st.dataframe(hits[['keep','text','Parameter','page']])
+        else:
+            st.info("🤔 No Targets Found")