Spaces:
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Update app.py
Browse files
app.py
CHANGED
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@@ -1,23 +1,12 @@
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import streamlit as st
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import os
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import re
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import time
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import subprocess
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import shutil
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import logging
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import
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from selenium import webdriver
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from selenium.webdriver.chrome.service import Service
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from selenium.webdriver.chrome.options import Options
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from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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from selenium.common.exceptions import WebDriverException, TimeoutException
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from langchain.text_splitter import RecursiveCharacterTextSplitter
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from langchain_community.vectorstores import FAISS
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from langchain_community.embeddings import HuggingFaceEmbeddings
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from langchain.schema import Document
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import chromedriver_autoinstaller
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# Try importing transformers with fallback
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try:
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@@ -38,21 +27,11 @@ except ImportError as e:
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# Set up logging
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logging.basicConfig(
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filename='/
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level=logging.DEBUG,
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format='%(asctime)s - %(levelname)s - %(message)s'
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)
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# Health check
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logging.info("Starting application health check")
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try:
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logging.info(f"Python version: {subprocess.check_output(['python', '--version']).decode().strip()}")
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logging.info(f"Pip list: {subprocess.check_output(['pip', 'list']).decode()}")
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logging.info(f"Environment variables: {os.environ}")
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logging.info(f"/tmp contents: {subprocess.check_output(['ls', '-la', '/tmp']).decode()}")
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except Exception as e:
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logging.error(f"Health check failed: {str(e)}")
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-
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# Set page configuration
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st.set_page_config(
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page_title="Web Scraping + RAG Chatbot",
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@@ -65,7 +44,7 @@ st.set_page_config(
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st.title("🕷️ Web Scraping + RAG Chatbot")
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st.markdown("""
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This app combines web scraping with Retrieval-Augmented Generation (RAG) to create an intelligent chatbot.
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""")
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# Initialize session state
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@@ -78,156 +57,6 @@ if 'chat_history' not in st.session_state:
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if 'qa_pipeline' not in st.session_state:
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st.session_state.qa_pipeline = None
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def cleanup_chromedriver_processes():
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"""Kill any lingering ChromeDriver and Chrome processes."""
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try:
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active_processes = []
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for proc in psutil.process_iter(['name', 'cmdline', 'pid']):
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try:
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name = proc.info['name'].lower()
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cmdline = proc.info.get('cmdline', [])
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if 'chromedriver' in name or 'chrome' in name or 'chromium' in name:
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if any('type=renderer' in arg for arg in cmdline):
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continue
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active_processes.append(f"{name} (PID {proc.pid})")
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proc.terminate()
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try:
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proc.wait(timeout=5)
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logging.info(f"Terminated process {name} PID {proc.pid}")
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except psutil.TimeoutExpired:
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proc.kill()
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logging.info(f"Force killed process {name} PID {proc.pid}")
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except (psutil.NoSuchProcess, psutil.AccessDenied):
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pass
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if active_processes:
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logging.info(f"Terminated processes: {', '.join(active_processes)}")
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else:
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logging.info("No Chrome-related processes found")
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# Additional cleanup with killall
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try:
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subprocess.run(['killall', '-9', 'chromedriver', 'chromium', 'chrome'], check=False, capture_output=True)
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logging.info("Ran killall for chromedriver, chromium, and chrome")
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except Exception as e:
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logging.warning(f"Error running killall: {str(e)}")
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except Exception as e:
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logging.warning(f"Error cleaning up processes: {str(e)}")
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-
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def find_binary(binary_name):
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"""Find binary path."""
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try:
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result = subprocess.check_output(['which', binary_name], stderr=subprocess.DEVNULL).decode().strip()
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logging.info(f"Found {binary_name} at: {result}")
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return result if result else None
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except Exception as e:
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logging.error(f"Error finding {binary_name}: {str(e)}")
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return None
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def check_versions(chromium_path, chromedriver_path):
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"""Log Chromium and ChromeDriver versions."""
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if chromedriver_path:
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try:
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chromedriver_version = subprocess.check_output([chromedriver_path, '--version']).decode().strip()
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logging.info(f"ChromeDriver path: {chromedriver_path}, version: {chromedriver_version}")
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except Exception as e:
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logging.error(f"Error checking ChromeDriver version: {str(e)}")
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if chromium_path:
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try:
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chromium_version = subprocess.check_output([chromium_path, '--version']).decode().strip()
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logging.info(f"Chromium path: {chromium_path}, version: {chromium_version}")
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except Exception as e:
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logging.error(f"Error checking Chromium version: {str(e)}")
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def check_disk_space():
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"""Log available disk space for /tmp."""
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try:
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stat = shutil.disk_usage('/tmp')
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logging.info(f"Disk space for /tmp: Total={stat.total / (1024**3):.2f}GB, Used={stat.used / (1024**3):.2f}GB, Free={stat.free / (1024**3):.2f}GB")
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except Exception as e:
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logging.warning(f"Error checking disk space: {str(e)}")
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def setup_driver():
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"""Set up Selenium WebDriver."""
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logging.info("Setting up Selenium WebDriver")
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cleanup_chromedriver_processes()
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check_disk_space()
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chromium_path = os.getenv('CHROMIUM_PATH', '/usr/bin/chromium')
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# Auto-install ChromeDriver
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chromedriver_path = None
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try:
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chromedriver_path = chromedriver_autoinstaller.install()
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if chromedriver_path:
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logging.info(f"Auto-installed ChromeDriver at: {chromedriver_path}")
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else:
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logging.warning("chromedriver_autoinstaller.install() returned None")
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except Exception as e:
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logging.error(f"Error auto-installing ChromeDriver: {str(e)}")
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# Fallback to environment variable or find_binary
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if not chromedriver_path:
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chromedriver_path = os.getenv('CHROMEDRIVER_PATH', '/usr/bin/chromedriver')
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logging.info(f"Falling back to CHROMEDRIVER_PATH: {chromedriver_path}")
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if not chromedriver_path or not os.path.exists(chromedriver_path):
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chromedriver_path = find_binary('chromedriver')
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if not chromedriver_path:
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st.error("ChromeDriver not found. Please ensure it's installed.")
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logging.error("No ChromeDriver found after fallback attempts")
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return None, None
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# Verify Chromium exists
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if not os.path.exists(chromium_path):
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chromium_path = find_binary('chromium') or find_binary('chromium-browser')
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if not chromium_path:
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st.error("Chromium not found. Please ensure it's installed.")
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logging.error("No Chromium found")
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return None, None
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# Check executable permissions
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if not os.access(chromedriver_path, os.X_OK):
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try:
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subprocess.run(['chmod', '+x', chromedriver_path], check=True)
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logging.info(f"Set executable permissions on {chromedriver_path}")
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except subprocess.CalledProcessError:
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st.warning(f"Could not set executable permissions on {chromedriver_path}")
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if not os.access(chromium_path, os.X_OK):
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try:
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subprocess.run(['chmod', '+x', chromium_path], check=True)
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logging.info(f"Set executable permissions on {chromium_path}")
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except subprocess.CalledProcessError:
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st.warning(f"Could not set executable permissions on {chromium_path}")
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check_versions(chromium_path, chromedriver_path)
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# Configure Chrome options
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options = Options()
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options.add_argument('--headless=new')
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options.add_argument('--no-sandbox')
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options.add_argument('--disable-dev-shm-usage')
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options.add_argument('--disable-gpu')
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options.add_argument('--disable-extensions')
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options.add_argument('--disable-background-networking')
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options.add_argument('--window-size=1920,1080')
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options.add_argument('--ignore-certificate-errors')
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options.binary_location = chromium_path
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# Initialize ChromeDriver
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try:
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service = Service(executable_path=chromedriver_path, port=0)
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logging.info("Starting ChromeDriver service")
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service.start()
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driver = webdriver.Chrome(service=service, options=options)
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driver.set_page_load_timeout(60)
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logging.info("ChromeDriver initialized successfully")
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return driver, service
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except WebDriverException as e:
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logging.error(f"Failed to initialize WebDriver: {str(e)}")
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st.error(f"Failed to initialize WebDriver: {str(e)}")
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return None, None
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except Exception as e:
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logging.error(f"Unexpected error initializing ChromeDriver: {str(e)}")
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st.error(f"Unexpected error initializing ChromeDriver: {str(e)}")
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return None, None
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def clean_text(text):
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"""Clean and normalize scraped text."""
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try:
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return text
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def scrape_website(url):
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"""Scrape data from the given URL."""
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logging.info(f"Starting scrape for URL: {url}")
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logging.error("WebDriver initialization failed")
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return None
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try:
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logging.info(f"Navigating to {url}")
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driver.get(url)
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WebDriverWait(driver, 30).until(
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EC.presence_of_element_located((By.TAG_NAME, "body"))
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)
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title = driver.title
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content_selectors = [
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(By.ID, "content"),
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(By.CLASS_NAME, "mw-parser-output"),
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(By.TAG_NAME, "main"),
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(By.CLASS_NAME, "main-content"),
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(By.ID, "main"),
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(By.TAG_NAME, "article")
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]
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main_content = None
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for by, value in content_selectors:
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try:
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main_content = driver.find_element(by, value)
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logging.info(f"Found content with selector: {by}={value}")
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break
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except:
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continue
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if not main_content:
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main_content = driver.find_element(By.TAG_NAME, "body")
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logging.info("Falling back to body tag for content")
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text_content = main_content.text
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cleaned_content = clean_text(text_content)
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logging.info(f"Scraped {len(cleaned_content)} characters from {url}")
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return {
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"title": title,
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"content": cleaned_content,
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"url": url
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}
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except (WebDriverException, TimeoutException) as e:
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logging.error(f"Error scraping {url}: {str(e)}")
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st.error(f"Error scraping {url}: {str(e)}")
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return None
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finally:
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try:
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except Exception as e:
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logging.
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@st.cache_resource
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def initialize_qa_model():
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with st.expander("View scraped content"):
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st.text_area("Content", result['content'], height=300)
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else:
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st.error("Failed to scrape the website. Check logs
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else:
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st.warning("Please enter a valid URL (e.g., https://example.com).")
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elif app_mode == "About":
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st.header("ℹ️ About")
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st.markdown("""
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This app uses
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and Hugging Face models for embeddings and question answering.
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- **Web Scraping**: Extracts text using headless Chromium.
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- **RAG**: Indexes content with sentence-transformers and answers questions using FLAN-T5.
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- **Tech Stack**: Python, Streamlit,
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- **Docker**: Runs in a containerized environment.
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""")
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import streamlit as st
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import os
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import re
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import logging
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from playwright.sync_api import sync_playwright
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from langchain.text_splitter import RecursiveCharacterTextSplitter
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from langchain_community.vectorstores import FAISS
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from langchain_community.embeddings import HuggingFaceEmbeddings
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from langchain.schema import Document
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# Try importing transformers with fallback
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try:
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# Set up logging
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logging.basicConfig(
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filename='/app/cache/app.log',
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level=logging.DEBUG,
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format='%(asctime)s - %(levelname)s - %(message)s'
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)
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# Set page configuration
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st.set_page_config(
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page_title="Web Scraping + RAG Chatbot",
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st.title("🕷️ Web Scraping + RAG Chatbot")
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st.markdown("""
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This app combines web scraping with Retrieval-Augmented Generation (RAG) to create an intelligent chatbot.
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Enter a URL to scrape its content, then ask questions about the scraped data.
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""")
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# Initialize session state
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if 'qa_pipeline' not in st.session_state:
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st.session_state.qa_pipeline = None
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| 60 |
def clean_text(text):
|
| 61 |
"""Clean and normalize scraped text."""
|
| 62 |
try:
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|
| 68 |
return text
|
| 69 |
|
| 70 |
def scrape_website(url):
|
| 71 |
+
"""Scrape data from the given URL using Playwright."""
|
| 72 |
logging.info(f"Starting scrape for URL: {url}")
|
| 73 |
+
with sync_playwright() as p:
|
| 74 |
+
browser = p.chromium.launch(headless=True, args=['--no-sandbox', '--disable-dev-shm-usage'])
|
| 75 |
+
page = browser.new_page()
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|
| 76 |
try:
|
| 77 |
+
logging.info(f"Navigating to {url}")
|
| 78 |
+
page.goto(url, wait_until="domcontentloaded", timeout=30000)
|
| 79 |
+
title = page.title()
|
| 80 |
+
content_selectors = [
|
| 81 |
+
"#content",
|
| 82 |
+
".mw-parser-output",
|
| 83 |
+
"main",
|
| 84 |
+
".main-content",
|
| 85 |
+
"#main",
|
| 86 |
+
"article"
|
| 87 |
+
]
|
| 88 |
+
main_content = None
|
| 89 |
+
for selector in content_selectors:
|
| 90 |
+
try:
|
| 91 |
+
main_content = page.query_selector(selector)
|
| 92 |
+
if main_content:
|
| 93 |
+
logging.info(f"Found content with selector: {selector}")
|
| 94 |
+
break
|
| 95 |
+
except:
|
| 96 |
+
continue
|
| 97 |
+
if not main_content:
|
| 98 |
+
main_content = page.query_selector("body")
|
| 99 |
+
logging.info("Falling back to body tag for content")
|
| 100 |
+
text_content = main_content.inner_text()
|
| 101 |
+
cleaned_content = clean_text(text_content)
|
| 102 |
+
logging.info(f"Scraped {len(cleaned_content)} characters from {url}")
|
| 103 |
+
return {
|
| 104 |
+
"title": title,
|
| 105 |
+
"content": cleaned_content,
|
| 106 |
+
"url": url
|
| 107 |
+
}
|
| 108 |
except Exception as e:
|
| 109 |
+
logging.error(f"Error scraping {url}: {str(e)}")
|
| 110 |
+
st.error(f"Error scraping {url}: {str(e)}")
|
| 111 |
+
return None
|
| 112 |
+
finally:
|
| 113 |
+
browser.close()
|
| 114 |
|
| 115 |
@st.cache_resource
|
| 116 |
def initialize_qa_model():
|
|
|
|
| 221 |
with st.expander("View scraped content"):
|
| 222 |
st.text_area("Content", result['content'], height=300)
|
| 223 |
else:
|
| 224 |
+
st.error("Failed to scrape the website. Check logs at /app/cache/app.log.")
|
| 225 |
else:
|
| 226 |
st.warning("Please enter a valid URL (e.g., https://example.com).")
|
| 227 |
|
|
|
|
| 246 |
elif app_mode == "About":
|
| 247 |
st.header("ℹ️ About")
|
| 248 |
st.markdown("""
|
| 249 |
+
This app uses Playwright for web scraping, LangChain for vector storage with FAISS,
|
| 250 |
and Hugging Face models for embeddings and question answering.
|
| 251 |
+
- **Web Scraping**: Extracts text using headless Chromium via Playwright.
|
| 252 |
- **RAG**: Indexes content with sentence-transformers and answers questions using FLAN-T5.
|
| 253 |
+
- **Tech Stack**: Python, Streamlit, Playwright, LangChain, Hugging Face Transformers, FAISS.
|
| 254 |
- **Docker**: Runs in a containerized environment.
|
| 255 |
""")
|