Update app.py

app.py

@@ -1,5 +1,6 @@
 import streamlit as st
 import os
+import time
 
 import zipfile
 
@@ -29,7 +30,7 @@ load_dotenv()
 groq_api_key=os.getenv('GROQ_API_KEY')
 os.environ["GOOGLE_API_KEY"]=os.getenv("GOOGLE_API_KEY")
 
-st.title("Gemma Model Document Q&A")
+st.title("Bharatiya Nyaya Sanhita(BNS) LLM")
 
 llm=ChatGroq(groq_api_key=groq_api_key,
              model_name="Llama3-8b-8192")
@@ -65,14 +66,13 @@ def vector_embedding():
 
 
 
-prompt1=st.text_input("Enter Your Question From Doduments")
+vector_embedding()
+st.write("Vector Store DB Is Ready")
 
 
-if st.button("Documents Embedding"):
-    vector_embedding()
-    st.write("Vector Store DB Is Ready")
 
-import time
+prompt1=st.text_input("Please Enter Your Question.")
+