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App.py

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+from langchain.document_loaders import PyPDFLoader
+from langchain.text_splitter import RecursiveCharacterTextSplitter 
+from langchain.embeddings import SentenceTransformerEmbeddings #HuggingFaceInstructEmbeddings
+from langchain.vectorstores import FAISS
+import os 
+import copy
+import time
+import pprint
+#import google.generativeai as palm
+from langchain.llms import GooglePalm
+from langchain import PromptTemplate
+from langchain.chains import RetrievalQA
+
+import streamlit
+import streamlit.web.cli as stcli
+
+import os,sys
+import subprocess
+import sentence_transformers
+import nltk
+import warnings
+warnings.filterwarnings("ignore")
+
+def resolve_path(path):
+    resolved_path = os.path.abspath(os.path.join(os.getcwd(), path))
+    return resolved_path
+
+
+
+while True:
+    choice=input(f"{'>>'*10} \n Choose : 0-> Ingest ; 1->Query ; 2->Exit \n : ")
+    if choice=='0':
+        from ingest import INGESTER
+        print(f"\n\n{'>>'*10}INGESTING!{'<<'*10}\n")
+        print("(NOTE: It may take sometime depending on the documents in the data folder. Wait for it to end, it'll inform you of the status.)\n")
+        print(f"{'###'*20}")
+        try:
+            print(f"\n\n{'>>>'*7} Ingesting Files: \n\n")
+            INGESTER()
+            print(f"\n\n{'>>'*7}INGESTED! Database ready for query!{'<<'*7}\n\n")
+        except:
+            print(f"\n\n{'>>'*7}ERROR OCCURED! Database not created!{'<<'*7}\n\n")
+    elif choice=='1':
+        #from docquery import EXTRACT
+        print("\nSTARTING QUERYING!\n")
+        try:
+            sys.argv = [
+            "streamlit",
+            "run",
+            resolve_path("DocChat.py"),
+            "--global.developmentMode=false",
+            ]
+            sys.exit(stcli.main())
+        except:
+            print("\n\nERROR WHILE INITIATING QUERYING!\n\n")
+        #EXTRACT()
+    elif choice=='2':
+        print("Exiting!")
+        break
+    else:
+        print("Invalid choice!")