Update app.py

app.py

@@ -22,10 +22,8 @@ from langchain.vectorstores import Chroma
 from langchain.document_loaders import TextLoader
 from langchain.llms import OpenAI
 from langchain.chains import RetrievalQA
-
 from langchain.chains.question_answering import load_qa_chain
 from langchain.llms import OpenAI
-
 import os 
 from langchain.chains import RetrievalQA
 from langchain.llms import OpenAI
@@ -44,7 +42,6 @@ import os
 from langchain.chains.question_answering import load_qa_chain
 from langchain.llms import OpenAI
 import os
-
 # Import Azure OpenAI
 from langchain.chat_models import AzureChatOpenAI
 from langchain.schema import HumanMessage
@@ -71,18 +68,14 @@ from rank_bm25 import BM25Okapi
 from nltk.tokenize import word_tokenize
 loaded_texts = np.load('texts.npy', allow_pickle=True)
 loaded_texts= [str(text) if not isinstance(text, str) else text for text in loaded_texts]
-
 with open('bm25_model.pkl', 'rb') as file:
   bm25 = pickle.load(file)
-
 # france credentials
 BASE_URL = "https://cnerg-gpt-france.openai.azure.com/"
 DEPLOYMENT_NAME = "GPT-4-France"
-# API_KEY = os.environ['API_KEY']
+#API_KEY = os.environ['API_KEY']
 # print(API_KEY)
 API_KEY = "1b68ed6e70d044558517db7721de6fac"
-
-
 model = AzureChatOpenAI(
     openai_api_base=BASE_URL,
     openai_api_version="2023-05-15",
@@ -90,12 +83,8 @@ model = AzureChatOpenAI(
     openai_api_key=API_KEY,
     openai_api_type="azure",
 )
-
-
 search = GoogleSearchAPIWrapper()
 import os
-
-
 def top10_results(query):
     return search.results(query, 10)