Upload chatbot_app_poc.py

chatbot_app_poc.py

@@ -3,6 +3,29 @@ import datetime
 import numpy as np
 import gspread
 from google.oauth2 import service_account
+from langchain.embeddings.openai import OpenAIEmbeddings
+from langchain.document_loaders.csv_loader import CSVLoader
+from langchain.vectorstores.faiss import FAISS
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+from langchain.text_splitter import CharacterTextSplitter
+from langchain import OpenAI, VectorDBQA
+from langdetect import detect
+from googletrans import Translator
+from langchain.vectorstores import Chroma
+from langchain.document_loaders import PyPDFLoader
+from langchain.chains import RetrievalQA
+from langchain.llms import OpenAI
+from langchain.document_loaders import TextLoader
+from langchain.chat_models import ChatOpenAI
+from langchain.chains import ConversationalRetrievalChain
+from langchain.prompts.prompt import PromptTemplate
+from langchain.callbacks import get_openai_callback
+import openai
+from datetime import datetime
+import pandas as pd
+import pytz
+from hashlib import sha256
+import os
 
 # Add this function to create a Google Sheets service
 def create_google_sheets_service(json_credentials_path, scopes):
@@ -80,29 +103,8 @@ os.environ["OPENAI_API_KEY"] = openai_api_key
 os.environ['OPENAI_API_KEY'] = st.secrets['OPENAI_API_KEY']
 
 
-from langchain.embeddings.openai import OpenAIEmbeddings
-from langchain.document_loaders.csv_loader import CSVLoader
-from langchain.vectorstores.faiss import FAISS
-from langchain.text_splitter import RecursiveCharacterTextSplitter
-from langchain.text_splitter import CharacterTextSplitter
-from langchain import OpenAI, VectorDBQA
-from langdetect import detect
-from googletrans import Translator
-from langchain.vectorstores import Chroma
-from langchain.document_loaders import PyPDFLoader
-from langchain.chains import RetrievalQA
-from langchain.llms import OpenAI
-from langchain.document_loaders import TextLoader
-#from langchain.translator import OpenAITranslator
-import openai
-from datetime import datetime
-import pandas as pd
-import pytz
 
 
-import streamlit as st
-from hashlib import sha256
-
 def create_hashed_password(password):
     return sha256(password.encode('utf-8')).hexdigest()
 
@@ -147,10 +149,6 @@ def login():
 #texts = text_splitter.split_documents(documents)
 
 #################
-from langchain.chat_models import ChatOpenAI
-from langchain.chains import ConversationalRetrievalChain
-from langchain.prompts.prompt import PromptTemplate
-from langchain.callbacks import get_openai_callback
 qa_template = """
         You are a helpful AI assistant named Q&A bot developed and created by Warba Bank Developers. The user gives you a file its content is represented by the following pieces of context, use them to answer the question at the end.
         If you don't know the answer, just say you don't know. Do NOT try to make up an answer.