Update app.py

app.py

@@ -14,6 +14,22 @@ client = chromadb.PersistentClient(path=path)
 import streamlit as st
 from PIL import Image as PILImage
 
+def set_title_style():
+    css = """
+    <style>
+    .title {
+        font-family: Arial, sans-serif;
+        font-size: 3rem;
+        font-weight: bold;
+        background: linear-gradient(to right, gold, black);
+        -webkit-background-clip: text;
+        -webkit-text-fill-color: transparent;
+        text-align: center;
+    }
+    </style>
+    """
+    st.markdown(css, unsafe_allow_html=True)
+
 def add_background_image(image_path):
     with open(image_path, "rb") as image_file:
         base64_image = base64.b64encode(image_file.read()).decode()
@@ -203,8 +219,8 @@ def format_prompt_inputs(image_collection, text_collection, video_collection, us
 import time  # To simulate delays during processing
 
 def page_1():
-    st.title("ADMIN")
-
+    st.markdown('<div class="title">ADMIN</div>', unsafe_allow_html=True)
+    
     uploaded_file = st.file_uploader("Upload a PDF file", type=["pdf"])
     if uploaded_file:
         pdf_path = f"/tmp/{uploaded_file.name}"
@@ -232,7 +248,7 @@ def page_1():
                 st.error(f"Error processing PDF: {e}")
 
 def page_2():
-    st.title("Poss Assitant")
+    st.markdown('<div class="title">Poss Assistant</div>', unsafe_allow_html=True)
 
     if "image_collection" in st.session_state and "text_collection" in st.session_state and "video_collection" in st.session_state:
         image_collection = st.session_state.image_collection