Update app.py

app.py

@@ -17,8 +17,14 @@ st.markdown(
         background-position: center center;
         background-repeat: no-repeat;
     }}
-    /* Set title and footer text color to black */
-    h1, h2, h3, h4, h5, h6, p {{
+    
+    /* Ensure title is black */
+    h1 {{
+        color: black !important;  /* Force title color to black */
+    }}
+    
+    /* Set footer text color to white */
+    h2, h3, h4, h5, h6, p {{
         color: black;  /* Set text color to black */
     }}
     
@@ -86,6 +92,9 @@ else:
     # If the index file doesn't exist, create a new one
     index = faiss.IndexFlatL2(embedder.get_sentence_embedding_dimension())
 
+# Variable to hold chunks globally
+chunks = []
+
 # Function to load text from PDF
 def load_pdf_text(file_path):
     """Extract text from the given PDF file."""
@@ -106,6 +115,8 @@ def chunk_text(text, chunk_size=500, overlap=100):
 # Process the document and update vector store
 def process_and_store_document(file_path):
     """Process the PDF document, chunk text, generate embeddings, and store them in FAISS."""
+    global chunks  # Make chunks global to access in the query part
+    
     st.info("Processing PDF document...")
     
     # Extract text from the PDF file