Update app.py

app.py

@@ -10,8 +10,6 @@ from langchain.chains.question_answering import load_qa_chain
 from langchain.prompts import PromptTemplate
 from dotenv import load_dotenv
 
-load_dotenv()
-os.getenv("GOOGLE_API_KEY")
 genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
 
 
@@ -33,7 +31,7 @@ def get_text_chunks(text):
 
 def get_vector_store(text_chunks):
     embeddings = GoogleGenerativeAIEmbeddings(model = "models/embedding-001")
-    vector_store = FAISS.from_texts(text_chunks, embedding=embeddings,allow_dangerous_deserialization= True)
+    vector_store = FAISS.from_texts(text_chunks, embedding=embeddings)
     vector_store.save_local("faiss_index")
 
 
@@ -44,12 +42,11 @@ 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)
+                             temperature=0.1)
 
     prompt = PromptTemplate(template = prompt_template, input_variables = ["context", "question"])
     chain = load_qa_chain(model, chain_type="stuff", prompt=prompt)
@@ -79,7 +76,7 @@ def user_input(user_question):
 
 def main():
     st.set_page_config("Chat PDF")
-    st.header("Chat with PDF using Gemini💁")
+    st.header("QnA with Multiple PDF files💁")
 
     user_question = st.text_input("Ask a Question from the PDF Files")