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# app.py
import gradio as gr
from bs4 import BeautifulSoup
import requests
from sentence_transformers import SentenceTransformer
import faiss
import numpy as np
import asyncio
import aiohttp
import re
import base64
# Initialize models and variables
embedding_model = SentenceTransformer('all-MiniLM-L6-v2')
faiss_index = None
bookmarks = []
fetch_cache = {}
# Define the categories
CATEGORIES = [
"Social Media",
"News and Media",
"Education and Learning",
"Entertainment",
"Shopping and E-commerce",
"Finance and Banking",
"Technology",
"Health and Fitness",
"Travel and Tourism",
"Food and Recipes",
"Sports",
"Arts and Culture",
"Government and Politics",
"Business and Economy",
"Science and Research",
"Personal Blogs and Journals",
"Job Search and Careers",
"Music and Audio",
"Videos and Movies",
"Reference and Knowledge Bases",
"Dead Link",
"Uncategorized",
]
def parse_bookmarks(file_content):
soup = BeautifulSoup(file_content, 'html.parser')
extracted_bookmarks = []
for link in soup.find_all('a'):
url = link.get('href')
title = link.text.strip()
if url and title:
extracted_bookmarks.append({'url': url, 'title': title})
return extracted_bookmarks
async def fetch_url_info(session, bookmark):
url = bookmark['url']
if url in fetch_cache:
bookmark.update(fetch_cache[url])
return bookmark
try:
async with session.get(url, timeout=5) as response:
bookmark['etag'] = response.headers.get('ETag', 'N/A')
bookmark['status_code'] = response.status
if response.status >= 400:
bookmark['dead_link'] = True
bookmark['description'] = ''
else:
bookmark['dead_link'] = False
content = await response.text()
soup = BeautifulSoup(content, 'html.parser')
# Extract meta description or Open Graph description
meta_description = soup.find('meta', attrs={'name': 'description'})
og_description = soup.find('meta', attrs={'property': 'og:description'})
if og_description and og_description.get('content'):
description = og_description.get('content')
elif meta_description and meta_description.get('content'):
description = meta_description.get('content')
else:
description = ''
bookmark['description'] = description
except Exception as e:
bookmark['dead_link'] = True
bookmark['etag'] = 'N/A'
bookmark['status_code'] = 'N/A'
bookmark['description'] = ''
finally:
fetch_cache[url] = {
'etag': bookmark.get('etag'),
'status_code': bookmark.get('status_code'),
'dead_link': bookmark.get('dead_link'),
'description': bookmark.get('description'),
}
return bookmark
async def process_bookmarks_async(bookmarks):
async with aiohttp.ClientSession() as session:
tasks = []
for bookmark in bookmarks:
task = asyncio.ensure_future(fetch_url_info(session, bookmark))
tasks.append(task)
await asyncio.gather(*tasks)
def generate_summary(bookmark):
description = bookmark.get('description', '')
if description:
bookmark['summary'] = description
else:
title = bookmark.get('title', '')
if title:
bookmark['summary'] = title
else:
bookmark['summary'] = 'No summary available.'
return bookmark
def assign_category(bookmark):
if bookmark.get('dead_link'):
bookmark['category'] = 'Dead Link'
return bookmark
summary = bookmark.get('summary', '').lower()
assigned_category = 'Uncategorized'
# Keywords associated with each category
category_keywords = {
"Social Media": ["social media", "networking", "friends", "connect", "posts", "profile"],
"News and Media": ["news", "journalism", "media", "headlines", "breaking news"],
"Education and Learning": ["education", "learning", "courses", "tutorial", "university", "academy", "study"],
"Entertainment": ["entertainment", "movies", "tv shows", "games", "comics", "fun"],
"Shopping and E-commerce": ["shopping", "e-commerce", "buy", "sell", "marketplace", "deals", "store"],
"Finance and Banking": ["finance", "banking", "investment", "money", "economy", "stock", "trading"],
"Technology": ["technology", "tech", "gadgets", "software", "computers", "innovation"],
"Health and Fitness": ["health", "fitness", "medical", "wellness", "exercise", "diet"],
"Travel and Tourism": ["travel", "tourism", "destinations", "hotels", "flights", "vacation"],
"Food and Recipes": ["food", "recipes", "cooking", "cuisine", "restaurant", "dining"],
"Sports": ["sports", "scores", "teams", "athletics", "matches", "leagues"],
"Arts and Culture": ["arts", "culture", "museum", "gallery", "exhibition", "artistic"],
"Government and Politics": ["government", "politics", "policy", "election", "public service"],
"Business and Economy": ["business", "corporate", "industry", "economy", "markets"],
"Science and Research": ["science", "research", "experiment", "laboratory", "study", "scientific"],
"Personal Blogs and Journals": ["blog", "journal", "personal", "diary", "thoughts", "opinions"],
"Job Search and Careers": ["jobs", "careers", "recruitment", "resume", "employment", "hiring"],
"Music and Audio": ["music", "audio", "songs", "albums", "artists", "bands"],
"Videos and Movies": ["video", "movies", "film", "clips", "trailers", "cinema"],
"Reference and Knowledge Bases": ["reference", "encyclopedia", "dictionary", "wiki", "knowledge", "information"],
}
for category, keywords in category_keywords.items():
for keyword in keywords:
if re.search(r'\b' + re.escape(keyword) + r'\b', summary):
assigned_category = category
break
if assigned_category != 'Uncategorized':
break
bookmark['category'] = assigned_category
return bookmark
def vectorize_and_index(bookmarks):
summaries = [bookmark['summary'] for bookmark in bookmarks]
embeddings = embedding_model.encode(summaries)
dimension = embeddings.shape[1]
faiss_idx = faiss.IndexFlatL2(dimension)
faiss_idx.add(np.array(embeddings))
return faiss_idx, embeddings
def display_bookmarks():
cards = ''
for i, bookmark in enumerate(bookmarks):
index = i + 1 # Start index at 1
status = "Dead Link" if bookmark.get('dead_link') else "Active"
title = bookmark['title']
url = bookmark['url']
etag = bookmark.get('etag', 'N/A')
summary = bookmark.get('summary', '')
category = bookmark.get('category', 'Uncategorized')
# Apply inline styles for dead links
if bookmark.get('dead_link'):
card_style = "border: 2px solid #D32F2F;"
text_style = "color: #D32F2F;"
else:
card_style = ""
text_style = ""
card_html = f'''
<div class="card" style="{card_style}">
<div class="card-content">
<h3 style="{text_style}">{index}. {title}</h3>
<p style="{text_style}"><strong>Category:</strong> {category}</p>
<p style="{text_style}"><strong>URL:</strong> <a href="{url}" target="_blank" style="{text_style}">{url}</a></p>
<p style="{text_style}"><strong>Status:</strong> {status}</p>
<p style="{text_style}"><strong>ETag:</strong> {etag}</p>
<p style="{text_style}"><strong>Summary:</strong> {summary}</p>
</div>
</div>
'''
cards += card_html
return cards
def process_uploaded_file(file):
global bookmarks, faiss_index
if file is None:
return "Please upload a bookmarks HTML file.", ''
try:
file_content = file.decode('utf-8')
except UnicodeDecodeError:
return "Error decoding the file. Please ensure it's a valid HTML file.", ''
bookmarks = parse_bookmarks(file_content)
if not bookmarks:
return "No bookmarks found in the uploaded file.", ''
# Asynchronously fetch bookmark info
asyncio.run(process_bookmarks_async(bookmarks))
# Generate summaries and assign categories
for bookmark in bookmarks:
generate_summary(bookmark)
assign_category(bookmark)
faiss_index, embeddings = vectorize_and_index(bookmarks)
message = f"Successfully processed {len(bookmarks)} bookmarks."
bookmark_html = display_bookmarks()
return message, bookmark_html
def chatbot_response(user_query):
if faiss_index is None or not bookmarks:
return "No bookmarks available. Please upload and process your bookmarks first."
# Vectorize user query
user_embedding = embedding_model.encode([user_query])
D, I = faiss_index.search(np.array(user_embedding), k=5) # Retrieve top 5 matches
# Generate response
response = ""
for idx in I[0]:
if idx < len(bookmarks):
bookmark = bookmarks[idx]
index = idx + 1 # Start index at 1
response += f"{index}. Title: {bookmark['title']}\nURL: {bookmark['url']}\nCategory: {bookmark.get('category', 'Uncategorized')}\nSummary: {bookmark['summary']}\n\n"
return response.strip()
def edit_bookmark(bookmark_idx, new_title, new_url, new_category):
global faiss_index
try:
bookmark_idx = int(bookmark_idx) - 1 # Adjust index to match list (starting at 0)
if bookmark_idx < 0 or bookmark_idx >= len(bookmarks):
return "Invalid bookmark index.", display_bookmarks()
bookmarks[bookmark_idx]['title'] = new_title
bookmarks[bookmark_idx]['url'] = new_url
bookmarks[bookmark_idx]['category'] = new_category
# Re-fetch bookmark info
asyncio.run(process_bookmarks_async([bookmarks[bookmark_idx]]))
generate_summary(bookmarks[bookmark_idx])
# Rebuild the FAISS index
faiss_index, embeddings = vectorize_and_index(bookmarks)
message = "Bookmark updated successfully."
updated_html = display_bookmarks()
return message, updated_html
except Exception as e:
return f"Error: {str(e)}", display_bookmarks()
def delete_bookmarks(indices_str):
global faiss_index
try:
indices = [int(idx.strip()) - 1 for idx in indices_str.split(',') if idx.strip().isdigit()]
indices = sorted(indices, reverse=True)
for idx in indices:
if 0 <= idx < len(bookmarks):
bookmarks.pop(idx)
# Rebuild the FAISS index
if bookmarks:
faiss_index, embeddings = vectorize_and_index(bookmarks)
else:
faiss_index = None
message = "Selected bookmarks deleted successfully."
updated_html = display_bookmarks()
return message, updated_html
except Exception as e:
return f"Error: {str(e)}", display_bookmarks()
def export_bookmarks():
if not bookmarks:
return None
# Create an HTML content similar to the imported bookmarks file
soup = BeautifulSoup("<!DOCTYPE NETSCAPE-Bookmark-file-1><Title>Bookmarks</Title><H1>Bookmarks</H1>", 'html.parser')
dl = soup.new_tag('DL')
for bookmark in bookmarks:
dt = soup.new_tag('DT')
a = soup.new_tag('A', href=bookmark['url'])
a.string = bookmark['title']
dt.append(a)
dl.append(dt)
soup.append(dl)
html_content = str(soup)
# Encode the HTML content to base64 for download
b64 = base64.b64encode(html_content.encode()).decode()
href = f'data:text/html;base64,{b64}'
return href
def build_app():
with gr.Blocks(css="app.css") as demo:
gr.Markdown("<h1>Bookmark Manager App</h1>")
with gr.Tab("Upload and Process Bookmarks"):
upload = gr.File(label="Upload Bookmarks HTML File", type='binary')
process_button = gr.Button("Process Bookmarks")
output_text = gr.Textbox(label="Output")
bookmark_display = gr.HTML(label="Bookmarks")
def update_bookmark_display(file):
message, html_content = process_uploaded_file(file)
return message, html_content
process_button.click(
update_bookmark_display,
inputs=upload,
outputs=[output_text, bookmark_display]
)
with gr.Tab("Chat with Bookmarks"):
user_input = gr.Textbox(label="Ask about your bookmarks")
chat_output = gr.Textbox(label="Chatbot Response")
chat_button = gr.Button("Send")
chat_button.click(
chatbot_response,
inputs=user_input,
outputs=chat_output
)
with gr.Tab("Manage Bookmarks"):
manage_output = gr.Textbox(label="Manage Output")
bookmark_display_manage = gr.HTML(label="Bookmarks")
refresh_button = gr.Button("Refresh Bookmark List")
indices_input = gr.Textbox(label="Bookmark Indices to Delete (comma-separated)")
delete_button = gr.Button("Delete Selected Bookmarks")
export_button = gr.Button("Export Bookmarks")
download_link = gr.HTML(label="Download Exported Bookmarks")
with gr.Row():
index_input = gr.Number(label="Bookmark Index (Starting from 1)", precision=0)
new_title_input = gr.Textbox(label="New Title")
new_url_input = gr.Textbox(label="New URL")
new_category_input = gr.Dropdown(label="New Category", choices=CATEGORIES)
edit_button = gr.Button("Edit Bookmark")
def update_manage_display():
html_content = display_bookmarks()
return html_content
refresh_button.click(
update_manage_display,
inputs=None,
outputs=bookmark_display_manage
)
edit_button.click(
edit_bookmark,
inputs=[index_input, new_title_input, new_url_input, new_category_input],
outputs=[manage_output, bookmark_display_manage]
)
delete_button.click(
delete_bookmarks,
inputs=indices_input,
outputs=[manage_output, bookmark_display_manage]
)
def provide_download_link():
href = export_bookmarks()
if href:
return f'<a href="{href}" download="bookmarks.html">Download Exported Bookmarks</a>'
else:
return "No bookmarks to export."
export_button.click(
provide_download_link,
inputs=None,
outputs=download_link
)
# Initial load of the bookmarks display
bookmark_display_manage.value = update_manage_display()
demo.launch()
if __name__ == "__main__":
build_app()