Update app.py

app.py

@@ -16,6 +16,26 @@ load_dotenv()
 memory_storage = StreamlitChatMessageHistory(key="chat_messages")
 memory = ConversationBufferWindowMemory(memory_key="chat_history", human_prefix="User", chat_memory=memory_storage, k=3)
 
+image_bg = r"data/image/freepik-export-20240425023906eVmL.jpeg"
+
+def add_bg_from_local(image_file):
+    with open(image_file, "rb") as image_file:
+        encoded_string = base64.b64encode(image_file.read())
+    st.markdown(f"""<style>.stApp {{background-image: url(data:image/{"png"};base64,{encoded_string.decode()});
+    background-size: cover}}</style>""", unsafe_allow_html=True)
+add_bg_from_local(image_bg)
+
+st.header("Welcome")
+#st.set_page_config(layout='wide', page_title="Virtual Tutor")
+st.markdown("""
+    <svg width="600" height="100">
+        <text x="50%" y="50%" font-family="San serif" font-size="42px" fill="Black" text-anchor="middle" stroke="white"
+         stroke-width="0.3" stroke-linejoin="round">MULTIMODAL RAG CHAT
+        </text>
+    </svg>
+""", unsafe_allow_html=True)
+
+
 def get_answer(query, chain):
     try:
         response = chain.invoke(query)
@@ -53,6 +73,15 @@ if st.button("Start Processing"):
     else:
         st.error("Please upload a file before starting processing.")
 
+st.markdown("""
+    <style> 
+    .stChatInputContainer > div {
+    background-color: #000000;
+    }
+    </style>
+    """, unsafe_allow_html=True)
+
+
 if user_input := st.chat_input("User Input"):
     if 'chain' in st.session_state and 'image_vdb' in st.session_state:
         chain = st.session_state['chain']