Update app.py

app.py

@@ -1,11 +1,11 @@
-import os
+from dotenv import load_dotenv
+import streamlit as st
 import pickle
-import numpy as np
 from PyPDF2 import PdfReader
 from transformers import pipeline
 from sentence_transformers import SentenceTransformer
-from dotenv import load_dotenv
-import streamlit as st
+import os
+import numpy as np
 
 # Load environment variables from .env file
 load_dotenv()
@@ -22,6 +22,7 @@ def chunk_text(text, chunk_size=1000, chunk_overlap=200):
 # Function to generate embeddings using sentence-transformers
 def generate_embeddings(text_chunks, model_name='all-MiniLM-L6-v2'):
     model = SentenceTransformer(model_name)
+
     embeddings = model.encode(text_chunks, convert_to_tensor=False)
     return embeddings
 
@@ -42,6 +43,7 @@ def main():
 
     if pdf is not None:
         pdf_reader = PdfReader(pdf)
+
         text = ""
         for page in pdf_reader.pages:
             text += page.extract_text()
@@ -78,8 +80,8 @@ def main():
             result = qa_pipeline(question=query, context=best_chunk)
             st.write(result['answer'])
 
-    # Set background image from URL
-    set_bg_from_url("https://www.1access.com/wp-content/uploads/2019/10/GettyImages-1180389186.jpg", opacity=0.5)
+if __name__ == '__main__':
+    main()
 
 def set_bg_from_url(url, opacity=1):
     footer = """
@@ -105,5 +107,20 @@ def set_bg_from_url(url, opacity=1):
     </footer>
     """
     st.markdown(footer, unsafe_allow_html=True)
-    
-    # Set background image using
+
+    # Set background image using HTML and CSS
+    st.markdown(
+        f"""
+        <style>
+            body {{
+                background: url('{url}') no-repeat center center fixed;
+                background-size: cover;
+                opacity: {opacity};
+            }}
+        </style>
+        """,
+        unsafe_allow_html=True
+    )
+
+# Set background image from URL
+set_bg_from_url("https://www.1access.com/wp-content/uploads/2019/10/GettyImages-1180389186.jpg", opacity=0.