Update app.py

app.py

@@ -2,8 +2,12 @@ import streamlit as st
 from PyPDF2 import PdfReader
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 import os
-from langchain_google_genai import GoogleGenerativeAIEmbeddings
 import google.generativeai as genai
+from langchain_google_genai import GoogleGenerativeAIEmbeddings
+from langchain_google_genai import GoogleGenerativeAI
+from langchain_google_genai.chat_models import ChatGoogleGenerativeAI
+from langchain_google_genai.embeddings import GoogleGenerativeAIEmbeddings
+from langchain_google_genai.llms import GoogleGenerativeAI
 from langchain.vectorstores import FAISS
 from langchain_google_genai import ChatGoogleGenerativeAI
 from langchain.chains.question_answering import load_qa_chain
@@ -15,10 +19,6 @@ os.getenv("GOOGLE_API_KEY")
 genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
 
 
-
-
-
-
 def get_pdf_text(pdf_docs):
     text=""
     for pdf in pdf_docs:
@@ -48,10 +48,12 @@ def get_conversational_chain():
     provided context just say, "answer is not available in the context", don't provide the wrong answer\n\n
     Context:\n {context}?\n
     Question: \n{question}\n
+
     Answer:
     """
 
-    model = ChatGoogleGenerativeAI(model="gemini-pro",temperature=0.3)
+    model = ChatGoogleGenerativeAI(model="gemini-pro",
+                             temperature=0.3)
 
     prompt = PromptTemplate(template = prompt_template, input_variables = ["context", "question"])
     chain = load_qa_chain(model, chain_type="stuff", prompt=prompt)
@@ -80,10 +82,10 @@ def user_input(user_question):
 
 
 def main():
-    st.set_page_config("PDF Chat")
-    st.header("Chat with PDF using Gemini💁")
+    st.set_page_config("Chat PDF")
+    st.header("Chat with PDF 💁")
 
-    user_question = st.text_input("Ask a Question from the given PDF Files")
+    user_question = st.text_input("Ask a Question from the PDF Files")
 
     if user_question:
         user_input(user_question)