Update app.py

app.py

@@ -9,6 +9,24 @@ from langchain.chains import ConversationalRetrievalChain
 
 DB_FAISS_PATH = 'vectorstore/db_faiss'
 
+# Set the background image and color
+st.markdown(
+    """
+    <style>
+        body {
+            background-image: url('https://www.bing.com/images/search?view=detailV2&ccid=lFAWXtbv&id=BB57AC3541361FF3844CAA706B667014CB515B92&thid=OIP.lFAWXtbvpchf66BryfJQ1QHaE8&mediaurl=https%3a%2f%2fimage.freepik.com%2ffree-photo%2ftwo-llamas-andean-highland-bolivia_107467-2006.jpg&exph=418&expw=626&q=llama2+image&simid=608011097331751957&FORM=IRPRST&ck=F66D65F1AFAAA4BBCF9986ADF8ED1643&selectedIndex=4');
+            background-size: cover;
+            background-color: #1E90FF; /* Dodger Blue */
+            color: white;
+        }
+        .st-bw {
+            color: white;
+        }
+    </style>
+    """,
+    unsafe_allow_html=True
+)
+
 #Loading the model
 def load_llm():
     # Load the locally downloaded model here
@@ -17,6 +35,26 @@ def load_llm():
 
 st.title("Chat with CSV using Llama2 🦙🦜")
 st.markdown("<h3 style='text-align: center; color: white;'>Built by <a href=https://github.com/Sakil786'>Llama-2-7B-Chat ❤️ </a></h3>", unsafe_allow_html=True)
+# Your background image URL goes here
+background_image_url = 'https://www.bing.com/images/search?view=detailV2&ccid=lFAWXtbv&id=BB57AC3541361FF3844CAA706B667014CB515B92&thid=OIP.lFAWXtbvpchf66BryfJQ1QHaE8&mediaurl=https%3a%2f%2fimage.freepik.com%2ffree-photo%2ftwo-llamas-andean-highland-bolivia_107467-2006.jpg&exph=418&expw=626&q=llama2+image&simid=608011097331751957&FORM=IRPRST&ck=F66D65F1AFAAA4BBCF9986ADF8ED1643&selectedIndex=4'
+
+# Set the background image and color
+st.markdown(
+    """
+    <style>
+        body {
+            background-image: url('%s');
+            background-size: cover;
+            background-color: #1E90FF; /* Dodger Blue */
+            color: white;
+        }
+        .st-bw {
+            color: white;
+        }
+    </style>
+    """ % background_image_url,
+    unsafe_allow_html=True
+)
 
 uploaded_file = st.sidebar.file_uploader("Upload your Data", type="csv")