add reader

utils/reader_qa.py

@@ -75,11 +75,12 @@ def reader_highlight(haystack_doc:pd.DataFrame,
     df1 = df1.reset_index(drop=True)
     df = haystack_doc[haystack_doc['Target Label'] == 'NEGATIVE']
     df = df.reset_index(drop=True)
+    predictions = []
     if not classifier_model:
         reader_model = st.session_state['reader_qa']
-        ques_ = ['What Target/commitments have been made ?'] * len(df1)
-
-        predictions = reader_model(ques_, list(df1.text))
+        ques_ = 'What Target/commitments have been made ?'
+        for text in list(df1.text):
+            predictions.append(reader_model(ques_, text))
 
     st.write(predictions)
     # # getting the sector label and scores