fixing key calls

app.py

@@ -1,13 +1,12 @@
 import logging
+import os
 from time import asctime
 
 import gradio as gr
 from llama_index.core import Document, VectorStoreIndex
-from llama_index.core.evaluation import SemanticSimilarityEvaluator, FaithfulnessEvaluator
 
 from generate_response import generate_chat_response_with_history, set_llm, is_search_query, condense_question, \
-    generate_chat_response_with_history_rag_return_response, get_llm
-from utils import read_file
+    generate_chat_response_with_history_rag_return_response
 from web_search import search
 
 API_KEY_PATH = "../keys/gpt_api_key.txt"
@@ -98,7 +97,7 @@ if __name__ == '__main__':
     logger.addHandler(filehandler)  # set the new handler
     logger.setLevel(logging.INFO)
 
-    api_key = read_file(API_KEY_PATH)
+    api_key = os.getenv('gpt_api_key')
 
     # 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:

generate_response.py

@@ -118,7 +118,6 @@ def is_closing(message):
 
 
 def is_search_query(message):
-
     response = llm.complete(
         f'Is the user message a request for factual information? Answer True or False only. For example: \n User '
         f'message: "Where do watermelons grow?" \n  Assistant response: True \n User message "Do you like watermelons?" '

llmsearch/utilityV2.py

@@ -12,7 +12,6 @@ import openai
 from tenacity import *
 
 # from agents.utils import read_file
-from utils import read_file
 
 logger = logging.getLogger("agent_logger")
 openai.api_key = os.getenv('gpt_api_key')

utils.py

@@ -1,5 +0,0 @@
-def read_file(path):
-    txt = open(path, "r")
-    file = txt.read()
-    txt.close()
-    return file

web_search.py

@@ -18,7 +18,6 @@ from llmsearch import site_stats
 # this import style works in pycharm
 from llmsearch import utilityV2 as ut
 
-from urllib.request import urlopen
 # this import style works on sever + vs code
 # import utils
 # from llmsearch import google_search_concurrent as gs