overall working

app.py

@@ -233,7 +233,7 @@ def contradiction_detection_for_sentence(cd_query):
     processing_progress_bar = st.progress(0)
 
     sentence_scores, paragraph_scores = find_sentences_scores(
-        st.session_state.paragraph_sentence_encodings, query_encoding, processing_progress_bar, total_count)
+        st.session_state.paragraph_sentence_encodings, query_encoding, cd_query, processing_progress_bar, total_count)
 
     sorted_paragraph_scores = sorted(paragraph_scores, key=lambda x: x[0], reverse=True)
 
@@ -247,12 +247,12 @@ def contradiction_detection_for_sentence(cd_query):
 
             if prev_contradiction_detected:
                 contradiction_detection_result = contradiction_detection(cd_query, top_sentence[1])
-                st.write("master document page number ", paragraph_from_sorted_paragraph_scores['original_text']['page_num'])
-                st.write("master document sentence: ", top_sentence[1])
-                st.write("secondary document sentence: ", cd_query)
-                st.write(contradiction_detection_result)
-                if contradiction_detection_result == {"Contradiction"}:
 
+                if contradiction_detection_result == {"Contradiction"}:
+                    st.write("master document page number ",
+                             paragraph_from_sorted_paragraph_scores['original_text']['page_num'])
+                    st.write("master document sentence: ", top_sentence[1])
+                    st.write("secondary document sentence: ", cd_query)
                     st.write(contradiction_detection_result)
                 #     st.write(contradiction_detection(st.session_state.premise, top_sentence[1]))
 
@@ -262,7 +262,7 @@ def contradiction_detection_for_sentence(cd_query):
                 break
 
 
-def find_sentences_scores(paragraph_sentence_encodings, query_encoding, processing_progress_bar, total_count):
+def find_sentences_scores(paragraph_sentence_encodings, query_encoding, query_plain, processing_progress_bar, total_count):
     paragraph_scores = []
     sentence_scores = []
     for paragraph_sentence_encoding_index, paragraph_sentence_encoding in enumerate(paragraph_sentence_encodings):
@@ -276,7 +276,8 @@ def find_sentences_scores(paragraph_sentence_encodings, query_encoding, processi
                 combined_score, similarity_score, commonality_score = add_commonality_to_similarity_score(similarity,
                                                                                                           sentence_encoding[
                                                                                                               0],
-                                                                                                          query)
+                                                                                                          query_plain)
+                # print(f"{sentence_encoding[0]} {combined_score} {similarity_score} {commonality_score}")
                 sentence_similarities.append((combined_score, sentence_encoding[0], commonality_score))
                 sentence_scores.append((combined_score, sentence_encoding[0]))
 
@@ -315,6 +316,7 @@ if 'paragraph_sentence_encodings' in st.session_state:
     query = st.text_input("Enter your query")
     if query:
         if 'prev_query' not in st.session_state or st.session_state.prev_query != query:
+        # if True:
             st.session_state.prev_query = query
             st.session_state.premise = query
             contradiction_detection_for_sentence(query)
@@ -322,6 +324,7 @@ if 'paragraph_sentence_encodings' in st.session_state:
     uploaded_text_file = st.file_uploader("Choose a .txt file", type="txt")
     if uploaded_text_file is not None:
         if is_new_txt_file_upload(uploaded_text_file):
+        #if True:
             lines = uploaded_text_file.readlines()
 
             # Initialize an empty list to store line number and text