updated pom file

app.py

@@ -1,6 +1,24 @@
 import streamlit as st
 from tempfile import NamedTemporaryFile
-import validators
+
+import pprint
+import google.generativeai as palm
+import os
+from dotenv import load_dotenv, find_dotenv
+from langchain.embeddings import GooglePalmEmbeddings
+from langchain.llms import GooglePalm
+
+from langchain.document_loaders import UnstructuredURLLoader  #load urls into docoument-loader
+from langchain.chains.question_answering import load_qa_chain
+from langchain.indexes import VectorstoreIndexCreator #vectorize db index with chromadb
+from langchain.text_splitter import CharacterTextSplitter #text splitter
+from langchain.chains import RetrievalQA
+from langchain.document_loaders import UnstructuredPDFLoader  #load pdf
+from langchain.agents import create_pandas_dataframe_agent
+
+import pandas as pd
+import numpy as np
+import pprint
 
 radioButtonList = ["E-commerce CSV (https://www.kaggle.com/datasets/mervemenekse/ecommerce-dataset)",
 "Upload my own CSV",
@@ -52,8 +70,6 @@ elif genre==radioButtonList[4]:
 chatTextStr = st.text_input(f'Ask me anything about this {pdfCSVURLText}', '', placeholder="Type your question here (e.g. what was the most sold item?)", disabled=not enableChatBox)
 chatWithPDFButton = "CLICK HERE TO START CHATTING"
 if st.button(chatWithPDFButton, disabled=not enableChatBox and not chatTextStr): #  Button Cliked
-    if genre==radioButtonList[4] and not validators.url(urlInput):
-        st.write('Invalid ULR. Please enter a valid URL.')
-    print("Successfully processed files")
+    st.write('Invalid ULR. Please enter a valid URL.')
 # else:
 #     pass

packages.txt

@@ -0,0 +1 @@
+libmagic-dev

requirements.txt

@@ -0,0 +1,5 @@
+google-generativeai
+langchain
+unstructured
+chromadb
+pdfminer.six