Update app.py

app.py

@@ -1,4 +1,5 @@
 # app.py
+
 import gradio as gr
 from bs4 import BeautifulSoup
 import requests
@@ -14,37 +15,200 @@ index = None
 bookmarks = []
 fetch_cache = {}
 
-# Helper functions as defined above...
+# Helper functions
 
 def parse_bookmarks(file_content):
-    # [Code from Step 4.1]
+    soup = BeautifulSoup(file_content, 'html.parser')
+    extracted_bookmarks = []
+    for link in soup.find_all('a'):
+        url = link.get('href')
+        title = link.text
+        if url and title:
+            extracted_bookmarks.append({'url': url, 'title': title})
+    return extracted_bookmarks
 
 def fetch_url_info(bookmark):
-    # [Code from Step 4.2]
+    url = bookmark['url']
+    if url in fetch_cache:
+        bookmark.update(fetch_cache[url])
+        return bookmark
+
+    try:
+        response = requests.get(url, timeout=5)
+        bookmark['etag'] = response.headers.get('ETag', 'N/A')
+        bookmark['status_code'] = response.status_code
+
+        if response.status_code >= 400:
+            bookmark['dead_link'] = True
+            bookmark['content'] = ''
+        else:
+            bookmark['dead_link'] = False
+            soup = BeautifulSoup(response.content, 'html.parser')
+            meta_tags = {meta.get('name', ''): meta.get('content', '') for meta in soup.find_all('meta')}
+            bookmark['meta_tags'] = meta_tags
+            bookmark['content'] = soup.get_text(separator=' ', strip=True)
+    except Exception as e:
+        bookmark['dead_link'] = True
+        bookmark['etag'] = 'N/A'
+        bookmark['status_code'] = 'N/A'
+        bookmark['meta_tags'] = {}
+        bookmark['content'] = ''
+    finally:
+        fetch_cache[url] = {
+            'etag': bookmark.get('etag'),
+            'status_code': bookmark.get('status_code'),
+            'dead_link': bookmark.get('dead_link'),
+            'meta_tags': bookmark.get('meta_tags'),
+            'content': bookmark.get('content'),
+        }
+    return bookmark
 
 def generate_summary(bookmark):
-    # [Code from Step 4.3]
+    content = bookmark.get('content', '')
+    if content:
+        # Limit content to first 2000 characters to save resources
+        content = content[:2000]
+        summary = summarizer(content, max_length=50, min_length=25, do_sample=False)
+        bookmark['summary'] = summary[0]['summary_text']
+    else:
+        bookmark['summary'] = 'No content available to summarize.'
+    return bookmark
 
 def vectorize_and_index(bookmarks):
-    # [Code from Step 4.4]
+    summaries = [bookmark['summary'] for bookmark in bookmarks]
+    embeddings = embedding_model.encode(summaries)
+    dimension = embeddings.shape[1]
+    faiss_index = faiss.IndexFlatL2(dimension)
+    faiss_index.add(np.array(embeddings))
+    return faiss_index, embeddings
 
 def process_uploaded_file(file):
-    # [Code from Step 5.1]
+    global bookmarks, index
+    if file is None:
+        return "Please upload a bookmarks HTML file."
+
+    file_content = file.read().decode('utf-8')
+    bookmarks = parse_bookmarks(file_content)
+
+    for bookmark in bookmarks:
+        fetch_url_info(bookmark)
+        generate_summary(bookmark)
+
+    index, embeddings = vectorize_and_index(bookmarks)
+    return f"Successfully processed {len(bookmarks)} bookmarks."
 
 def chatbot_response(user_query):
-    # [Code from Step 5.2]
+    if 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 = index.search(np.array(user_embedding), k=5)  # Retrieve top 5 matches
+
+    # Generate response
+    response = ""
+    for idx in I[0]:
+        bookmark = bookmarks[idx]
+        response += f"Title: {bookmark['title']}\nURL: {bookmark['url']}\nSummary: {bookmark['summary']}\n\n"
+    return response.strip()
 
 def display_bookmarks():
-    # [Code from Step 5.3]
+    bookmark_list = []
+    for i, bookmark in enumerate(bookmarks):
+        status = "Dead Link" if bookmark.get('dead_link') else "Active"
+        bookmark_list.append([i, bookmark['title'], bookmark['url'], status])
+    return bookmark_list
 
 def edit_bookmark(index, new_title, new_url):
-    # [Code from Step 5.3]
+    global index  # Reference the global index variable
+    try:
+        index = int(index)
+        bookmarks[index]['title'] = new_title
+        bookmarks[index]['url'] = new_url
+        fetch_url_info(bookmarks[index])
+        generate_summary(bookmarks[index])
+        # Rebuild the FAISS index
+        index, embeddings = vectorize_and_index(bookmarks)
+        return "Bookmark updated successfully."
+    except Exception as e:
+        return f"Error: {str(e)}"
 
 def delete_bookmark(index):
-    # [Code from Step 5.3]
+    global index  # Reference the global index variable
+    try:
+        index = int(index)
+        bookmarks.pop(index)
+        # Rebuild the FAISS index
+        if bookmarks:
+            index, embeddings = vectorize_and_index(bookmarks)
+        else:
+            index = None  # No bookmarks left
+        return "Bookmark deleted successfully."
+    except Exception as e:
+        return f"Error: {str(e)}"
 
 def build_app():
-    # [Code from Step 6]
+    with gr.Blocks() as demo:
+        gr.Markdown("# Bookmark Manager App")
+
+        with gr.Tab("Upload and Process Bookmarks"):
+            upload = gr.File(label="Upload Bookmarks HTML File")
+            process_button = gr.Button("Process Bookmarks")
+            output_text = gr.Textbox(label="Output")
+
+            process_button.click(
+                process_uploaded_file,
+                inputs=upload,
+                outputs=output_text
+            )
+
+        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"):
+            bookmark_table = gr.Dataframe(
+                headers=["Index", "Title", "URL", "Status"],
+                datatype=["number", "str", "str", "str"],
+                interactive=False
+            )
+            refresh_button = gr.Button("Refresh Bookmark List")
+
+            with gr.Row():
+                index_input = gr.Number(label="Bookmark Index")
+                new_title_input = gr.Textbox(label="New Title")
+                new_url_input = gr.Textbox(label="New URL")
+
+            edit_button = gr.Button("Edit Bookmark")
+            delete_button = gr.Button("Delete Bookmark")
+            manage_output = gr.Textbox(label="Manage Output")
+
+            refresh_button.click(
+                display_bookmarks,
+                inputs=None,
+                outputs=bookmark_table
+            )
+
+            edit_button.click(
+                edit_bookmark,
+                inputs=[index_input, new_title_input, new_url_input],
+                outputs=manage_output
+            )
+
+            delete_button.click(
+                delete_bookmark,
+                inputs=index_input,
+                outputs=manage_output
+            )
+
+    demo.launch()
 
 if __name__ == "__main__":
     build_app()