Create app.py

app.py

@@ -0,0 +1,50 @@
+# app.py
+import gradio as gr
+from bs4 import BeautifulSoup
+import requests
+from transformers import pipeline
+from sentence_transformers import SentenceTransformer
+import faiss
+import numpy as np
+
+# Initialize models and variables
+summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
+embedding_model = SentenceTransformer('all-MiniLM-L6-v2')
+index = None
+bookmarks = []
+fetch_cache = {}
+
+# Helper functions as defined above...
+
+def parse_bookmarks(file_content):
+    # [Code from Step 4.1]
+
+def fetch_url_info(bookmark):
+    # [Code from Step 4.2]
+
+def generate_summary(bookmark):
+    # [Code from Step 4.3]
+
+def vectorize_and_index(bookmarks):
+    # [Code from Step 4.4]
+
+def process_uploaded_file(file):
+    # [Code from Step 5.1]
+
+def chatbot_response(user_query):
+    # [Code from Step 5.2]
+
+def display_bookmarks():
+    # [Code from Step 5.3]
+
+def edit_bookmark(index, new_title, new_url):
+    # [Code from Step 5.3]
+
+def delete_bookmark(index):
+    # [Code from Step 5.3]
+
+def build_app():
+    # [Code from Step 6]
+
+if __name__ == "__main__":
+    build_app()