removed unneeded code

app.py

@@ -33,23 +33,23 @@ def google_search_chat(message, history):
 
             response = generate_chat_response_with_history_rag_return_response(index, message, history)
 
-            similar_str = "not calculated"
-            faithfulness_str = "not calculated"
-
-            if rag_similarity:
-                sim_evaluator = SemanticSimilarityEvaluator()
-                faith_evaluator = FaithfulnessEvaluator(llm=get_llm())
-                # condensed_context = condense_context(relevant_content)
-                # logger.info("Calculating similarity...")
-                # similar = sim_evaluator.evaluate(response=str(response),
-                #                                   reference=condensed_context)
-                logger.info("Calculating faithfulness...")
-                faithfulness = faith_evaluator.evaluate_response(query=condensed_question, response=response)
-                # similar_str = str(round((similar.score * 100), 2)) + "%"
-                faithfulness_str = "Yes" if faithfulness.passing else "No"
-
-            logger.info(f'**Search Query:** {condensed_question} \n **Faithfulness:** {faithfulness_str} \n '
-                        f'**Similarity:** {similar_str} \n **Sources used:** \n {sources}')
+            # similar_str = "not calculated"
+            # faithfulness_str = "not calculated"
+            #
+            # if rag_similarity:
+            #     sim_evaluator = SemanticSimilarityEvaluator()
+            #     faith_evaluator = FaithfulnessEvaluator(llm=get_llm())
+            #     # condensed_context = condense_context(relevant_content)
+            #     # logger.info("Calculating similarity...")
+            #     # similar = sim_evaluator.evaluate(response=str(response),
+            #     #                                   reference=condensed_context)
+            #     logger.info("Calculating faithfulness...")
+            #     faithfulness = faith_evaluator.evaluate_response(query=condensed_question, response=response)
+            #     # similar_str = str(round((similar.score * 100), 2)) + "%"
+            #     faithfulness_str = "Yes" if faithfulness.passing else "No"
+            #
+            # logger.info(f'**Search Query:** {condensed_question} \n **Faithfulness:** {faithfulness_str} \n '
+            #             f'**Similarity:** {similar_str} \n **Sources used:** \n {sources}')
 
             response_text = []
             string_output = ""
@@ -59,21 +59,21 @@ def google_search_chat(message, history):
                 string_output = ''.join(response_text)
                 yield string_output
 
-            if not sourced:
-                pass
-            if sourced and not query and not rag_similarity:
-                yield string_output + f'\n\n --- \n **Sources used:** \n {sources}'
-            if sourced and query and not rag_similarity:
-                yield (string_output
-                       + f'\n\n --- \n **Search Query:** {condensed_question} '
-                         f'\n **Sources used:** \n {sources}')
-            if rag_similarity:
-                yield (string_output
-                       + f'\n\n --- \n **Search Query:** {condensed_question} \n '
-                       # f'**Similarity of response to the sources [ℹ️]'
-                       # f'(https://en.wikipedia.org/wiki/Semantic_similarity):** {similar_str} \n'
-                         f'**Is response in source documents?**: {faithfulness_str}'
-                         f'\n **Sources used:** \n {sources}')
+            # if not sourced:
+            #     pass
+            # if sourced and not query and not rag_similarity:
+            #     yield string_output + f'\n\n --- \n **Sources used:** \n {sources}'
+            # if sourced and query and not rag_similarity:
+            #     yield (string_output
+            #            + f'\n\n --- \n **Search Query:** {condensed_question} '
+            #              f'\n **Sources used:** \n {sources}')
+            # if rag_similarity:
+            #     yield (string_output
+            #            + f'\n\n --- \n **Search Query:** {condensed_question} \n '
+            #            # f'**Similarity of response to the sources [ℹ️]'
+            #            # f'(https://en.wikipedia.org/wiki/Semantic_similarity):** {similar_str} \n'
+            #              f'**Is response in source documents?**: {faithfulness_str}'
+            #              f'\n **Sources used:** \n {sources}')
 
             logger.info(f'Assistant Response: {string_output}')
         else:
@@ -99,8 +99,6 @@ if __name__ == '__main__':
     logger.setLevel(logging.INFO)
 
     api_key = read_file(API_KEY_PATH)
-    global sourced
-    sourced = False
 
     # GPT - 4 Turbo. The latest GPT - 4 model intended to reduce cases of “laziness” where the model doesn’t complete
     # a task. Returns a maximum of 4,096 output tokens. Link: