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Update app.py
Browse files
app.py
CHANGED
@@ -469,23 +469,23 @@ def process_uploaded_file(file, state_bookmarks):
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if file is None:
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logger.warning("No file uploaded")
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return "Please upload a bookmarks HTML file.", '', state_bookmarks, display_bookmarks()
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try:
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file_content = file.decode('utf-8')
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except UnicodeDecodeError as e:
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logger.error(f"Error decoding the file: {e}", exc_info=True)
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return "Error decoding the file. Please ensure it's a valid HTML file.", '', state_bookmarks, display_bookmarks()
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try:
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bookmarks = parse_bookmarks(file_content)
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except Exception as e:
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logger.error(f"Error parsing bookmarks: {e}", exc_info=True)
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return "Error parsing the bookmarks HTML file.", '', state_bookmarks, display_bookmarks()
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if not bookmarks:
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logger.warning("No bookmarks found in the uploaded file")
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return "No bookmarks found in the uploaded file.", '', state_bookmarks, display_bookmarks()
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# Assign unique IDs to bookmarks
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for idx, bookmark in enumerate(bookmarks):
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@@ -505,7 +505,7 @@ def process_uploaded_file(file, state_bookmarks):
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faiss_index = vectorize_and_index(bookmarks)
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except Exception as e:
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logger.error(f"Error building FAISS index: {e}", exc_info=True)
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return "Error building search index.", '', state_bookmarks, display_bookmarks()
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message = f"✅ Successfully processed {len(bookmarks)} bookmarks."
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logger.info(message)
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@@ -518,7 +518,7 @@ def process_uploaded_file(file, state_bookmarks):
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# Update state
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state_bookmarks = bookmarks.copy()
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return message, bookmark_html, state_bookmarks, bookmark_html
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def delete_selected_bookmarks(selected_indices, state_bookmarks):
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"""
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@@ -625,6 +625,9 @@ def chatbot_response(user_query, chat_history):
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logger.info(f"Chatbot received query: {user_query}")
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try:
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# Rate Limiting Logic
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with api_lock:
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global last_api_call_time
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@@ -694,7 +697,7 @@ Provide a concise and helpful response.
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logger.info("Chatbot response generated")
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time.sleep(sleep_time)
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# Append the
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chat_history.append({"role": "assistant", "content": answer})
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return chat_history
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@@ -765,7 +768,7 @@ Navigate through the tabs to explore each feature in detail.
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process_button.click(
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process_uploaded_file,
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inputs=[upload, state_bookmarks],
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outputs=[output_text, bookmark_display, state_bookmarks, bookmark_display]
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)
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# Chat with Bookmarks Tab
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if file is None:
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logger.warning("No file uploaded")
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return "Please upload a bookmarks HTML file.", '', state_bookmarks, display_bookmarks(), gr.update(choices=[])
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try:
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file_content = file.decode('utf-8')
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except UnicodeDecodeError as e:
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logger.error(f"Error decoding the file: {e}", exc_info=True)
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return "Error decoding the file. Please ensure it's a valid HTML file.", '', state_bookmarks, display_bookmarks(), gr.update(choices=[])
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try:
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bookmarks = parse_bookmarks(file_content)
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except Exception as e:
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logger.error(f"Error parsing bookmarks: {e}", exc_info=True)
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return "Error parsing the bookmarks HTML file.", '', state_bookmarks, display_bookmarks(), gr.update(choices=[])
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if not bookmarks:
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logger.warning("No bookmarks found in the uploaded file")
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return "No bookmarks found in the uploaded file.", '', state_bookmarks, display_bookmarks(), gr.update(choices=[])
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# Assign unique IDs to bookmarks
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for idx, bookmark in enumerate(bookmarks):
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faiss_index = vectorize_and_index(bookmarks)
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except Exception as e:
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logger.error(f"Error building FAISS index: {e}", exc_info=True)
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return "Error building search index.", '', state_bookmarks, display_bookmarks(), gr.update(choices=[])
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message = f"✅ Successfully processed {len(bookmarks)} bookmarks."
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logger.info(message)
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# Update state
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state_bookmarks = bookmarks.copy()
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return message, bookmark_html, state_bookmarks, bookmark_html, gr.update(choices=choices)
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def delete_selected_bookmarks(selected_indices, state_bookmarks):
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"""
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logger.info(f"Chatbot received query: {user_query}")
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try:
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# Append user's message to chat history
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chat_history.append({"role": "user", "content": user_query})
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# Rate Limiting Logic
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with api_lock:
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global last_api_call_time
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logger.info("Chatbot response generated")
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time.sleep(sleep_time)
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# Append the assistant's response to chat history
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chat_history.append({"role": "assistant", "content": answer})
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return chat_history
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process_button.click(
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process_uploaded_file,
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inputs=[upload, state_bookmarks],
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outputs=[output_text, bookmark_display, state_bookmarks, bookmark_display, gr.update()]
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)
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# Chat with Bookmarks Tab
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