adding sources

app.py

@@ -11,9 +11,6 @@ from web_search import search
 
 API_KEY_PATH = "../keys/gpt_api_key.txt"
 logger = logging.getLogger("agent_logger")
-sourced = False
-query = False
-rag_similarity = False
 
 
 def google_search_chat(message, history):
@@ -33,24 +30,6 @@ def google_search_chat(message, history):
             print('Search results vectorized...')
             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}')
-
             response_text = []
             string_output = ""
 
@@ -58,29 +37,13 @@ def google_search_chat(message, history):
                 response_text.append(text)
                 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}')
+            yield string_output + f'\n\n --- \n **Sources used:** \n {sources}'
 
             print(f'Assistant Response: {string_output}')
         else:
             print(
                 f'Assistant Response: Sorry, no search results found.')
             yield "Sorry, no search results found."
-
     else:
         yield from generate_chat_response_with_history(message, history)
 
@@ -105,7 +68,7 @@ if __name__ == '__main__':
     # https://openai.com/blog/new-embedding-models-and-api-updates
     set_llm(key=api_key, model="gpt-4-0125-preview", temperature=0)
 
-    print("Launching Gradio ChatInterface for searchbot...")
+    print("Launching Gradio ChatInterface for searchbot_sourced...")
 
     demo = gr.ChatInterface(fn=google_search_chat,
                             title="Search Assistant", retry_btn=None, undo_btn=None, clear_btn=None,