Update app.py

app.py

@@ -6,7 +6,7 @@ import faiss
 import numpy as np
 from groq import Client
 
-# Set background image
+# Set background image and text color
 background_image_url = "https://jamesclear.com/wp-content/uploads/2020/11/atomic-habits_gallery_hi-res_01.jpg"
 st.markdown(
     f"""
@@ -17,8 +17,8 @@ st.markdown(
         background-position: center center;
         background-repeat: no-repeat;
     }}
-    h1 {{
-        color: black;
+    h1, h2, h3, h4, h5, h6, p {{
+        color: black;  /* Set text color to black */
     }}
     .footer {{
         position: fixed;
@@ -49,14 +49,14 @@ embedder = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
 
 # Define file path and vector store folder
 file_path = "Atomic habits ( PDFDrive ).pdf"  # File directly in the root directory of the app
-VECTORSTORE_FOLDER = "vectorstore/index.faiss"  # Folder in the root directory
+VECTORSTORE_FOLDER = "vectorstore"  # Folder where the FAISS index will be stored
 
 # Ensure the vector store folder exists
 if not os.path.exists(VECTORSTORE_FOLDER):
     os.makedirs(VECTORSTORE_FOLDER)
 
 # Define the vector store path
-vectorstore_path = os.path.join(VECTORSTORE_FOLDER, "index.faiss")
+vectorstore_path = os.path.join(VECTORSTORE_FOLDER, "index.faiss")  # Correct path to the index file
 
 # Load or create FAISS index
 if os.path.exists(vectorstore_path):