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acecalisto3
commited on
Update app.py
Browse files
app.py
CHANGED
@@ -1,4 +1,3 @@
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```python
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import os
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import time
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import hashlib
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@@ -30,17 +29,14 @@ HISTORY = []
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CURRENT_TASK = None
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STOP_THREADS = False
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# Define
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# Function to monitor URLs for changes
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def monitor_urls(storage_location, urls, scrape_interval, content_type):
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global HISTORY, STOP_THREADS
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previous_hashes = {url: "" for url in urls} # Use a dictionary for better organization
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try:
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with webdriver.Chrome(service=Service(webdriver.ChromeDriverManager().install()), options=Options()) as driver:
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while not
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for url in urls:
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try:
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driver.get(url)
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@@ -49,14 +45,9 @@ def monitor_urls(storage_location, urls, scrape_interval, content_type):
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current_content = driver.page_source
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elif content_type == "media":
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current_content = driver.find_elements(By.TAG_NAME, "img")
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elif content_type == "both":
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current_content = driver.page_source + str(driver.find_elements(By.TAG_NAME, "img"))
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else:
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current_content = driver.page_source
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-
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# Calculate hash based on selected content type
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current_hash = hashlib.md5(str(current_content).encode('utf-8')).hexdigest()
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if current_hash != previous_hashes[url]:
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previous_hashes[url] = current_hash
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date_time_str = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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@@ -65,17 +56,15 @@ def monitor_urls(storage_location, urls, scrape_interval, content_type):
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csv_writer = csv.DictWriter(csvfile, fieldnames=["date", "time", "url", "change"])
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csv_writer.writerow({"date": date_time_str.split()[0], "time": date_time_str.split()[1], "url": url, "change": "Content changed"})
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logging.info(f"Change detected at {url} on {date_time_str}")
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-
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except (NoSuchElementException, Exception) as e:
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logging.error(f"Error accessing {url}: {e}")
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time.sleep(scrape_interval * 60) # Check every scrape_interval minutes
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except Exception as e:
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logging.error(f"Error starting ChromeDriver: {e}")
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#
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def start_scraping(storage_location, urls, scrape_interval, content_type):
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global CURRENT_TASK, HISTORY
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STOP_THREADS = False # Reset stop flag
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CURRENT_TASK = f"Monitoring URLs: {', '.join(urls)}"
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HISTORY.append(f"Task started: {CURRENT_TASK}")
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@@ -95,8 +84,6 @@ def start_scraping(storage_location, urls, scrape_interval, content_type):
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initial_content = driver.page_source
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elif content_type == "media":
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initial_content = driver.find_elements(By.TAG_NAME, "img")
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elif content_type == "both":
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initial_content = driver.page_source + str(driver.find_elements(By.TAG_NAME, "img"))
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else:
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initial_content = driver.page_source
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initial_hash = hashlib.md5(str(initial_content).encode('utf-8')).hexdigest()
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@@ -106,64 +93,17 @@ def start_scraping(storage_location, urls, scrape_interval, content_type):
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except (NoSuchElementException, Exception) as e:
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HISTORY.append(f"Error accessing {url}: {e}")
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# Start a
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thread.start()
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return f"Started scraping {', '.join(urls)} every {scrape_interval} minutes."
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#
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def
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csv_path = os.path.join(folder_path, f"{hostname}_changes.csv")
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if os.path.exists(csv_path):
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with open(csv_path, "r") as file:
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return file.read()
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else:
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return "No data available."
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# Define the chat response function using the Mistral model
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def respond(message, history, system_message, max_tokens, temperature, top_p):
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model = AutoModelForSeq2SeqLM.from_pretrained_model("mistralai/Mixtral-8x7B-Instruct-v0.1")
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tokenizer = AutoTokenizer.from_pretrained_model("mistralai/Mixtral-8x7B-Instruct-v0.1")
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pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
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response = pipe(f"User: {message}\nHistory: {history}\nSystem: {system_message}", max_length=max_tokens, temperature=temperature, top_p=top_p)[0]
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return response
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# Function to generate RSS feed for a given URL
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def generate_rss_feed(url):
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hostname = urlparse(url).hostname
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folder_path = os.path.join(DEFAULT_FILE_PATH, hostname)
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csv_path = os.path.join(folder_path, f"{hostname}_changes.csv")
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if os.path.exists(csv_path):
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with open(csv_path, "r") as file:
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reader = csv.DictReader(file)
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feed = feedparser.parse(f"rss.xml") # Create a new feed object
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feed.feed.title = f"Changes for {hostname}"
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feed.feed.link = url
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feed.feed.description = "Recent changes detected on the website."
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feed.entries = []
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for row in reader:
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feed.entries.append({
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"title": f"Change detected at {row['url']}",
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"link": row['url'],
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"description": f"Content changed on {row['date']} at {row['time']}",
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"published": datetime.datetime.strptime(f"{row['date']} {row['time']}", "%Y-%m-%d %H:%M:%S").isoformat(),
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})
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return feed.entries
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else:
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return "No data available."
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# Function to handle user input and generate response
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def chat_interface(message, history, system_message, max_tokens, temperature, top_p, storage_location, urls, scrape_interval, content_type):
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response = respond(message, history, system_message, max_tokens, temperature, top_p)
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history.append((message, response))
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return history, response
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# Gradio Interface
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import gradio as gr
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def create_interface():
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with gr.Blocks() as demo:
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with gr.Row():
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chat_history = gr.Chatbot(label="Chat History")
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response_box = gr.Textbox(label="Response")
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message.submit(chat_interface, inputs=[message, chat_history, system_message, max_tokens, temperature, top_p, storage_location, urls, scrape_interval, content_type], outputs=[chat_history, response_box])
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# Add a button to display the CSV content for a selected URL
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import os
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import time
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import hashlib
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CURRENT_TASK = None
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STOP_THREADS = False
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# Define a function to monitor URLs for changes
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def monitor_urls(storage_location, urls, scrape_interval, content_type, stop_scraping_flag):
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global HISTORY
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previous_hashes = {url: "" for url in urls} # Use a dictionary for better organization
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try:
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with webdriver.Chrome(service=Service(webdriver.ChromeDriverManager().install()), options=Options()) as driver:
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while not stop_scraping_flag[0]:
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for url in urls:
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try:
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driver.get(url)
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current_content = driver.page_source
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elif content_type == "media":
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current_content = driver.find_elements(By.TAG_NAME, "img")
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else:
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current_content = driver.page_source
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current_hash = hashlib.md5(str(current_content).encode('utf-8')).hexdigest()
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if current_hash != previous_hashes[url]:
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previous_hashes[url] = current_hash
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date_time_str = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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csv_writer = csv.DictWriter(csvfile, fieldnames=["date", "time", "url", "change"])
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csv_writer.writerow({"date": date_time_str.split()[0], "time": date_time_str.split()[1], "url": url, "change": "Content changed"})
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logging.info(f"Change detected at {url} on {date_time_str}")
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except (NoSuchElementException, Exception) as e:
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logging.error(f"Error accessing {url}: {e}")
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time.sleep(scrape_interval * 60) # Check every scrape_interval minutes
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except Exception as e:
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logging.error(f"Error starting ChromeDriver: {e}")
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# Define a function to start scraping
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def start_scraping(storage_location, urls, scrape_interval, content_type, stop_scraping_flag):
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global CURRENT_TASK, HISTORY
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CURRENT_TASK = f"Monitoring URLs: {', '.join(urls)}"
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HISTORY.append(f"Task started: {CURRENT_TASK}")
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initial_content = driver.page_source
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elif content_type == "media":
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initial_content = driver.find_elements(By.TAG_NAME, "img")
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else:
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initial_content = driver.page_source
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initial_hash = hashlib.md5(str(initial_content).encode('utf-8')).hexdigest()
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except (NoSuchElementException, Exception) as e:
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HISTORY.append(f"Error accessing {url}: {e}")
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# Start a new thread for monitoring URLs
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threading.Thread(target=monitor_urls, args=(storage_location, urls, scrape_interval, content_type, stop_scraping_flag)).start()
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return f"Started scraping {', '.join(urls)} every {scrape_interval} minutes."
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# Define a function to stop scraping
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def stop_scraping(stop_scraping_flag):
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stop_scraping_flag[0] = True
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return "Scraping stopped."
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# Define the Gradio interface
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def create_interface():
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with gr.Blocks() as demo:
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with gr.Row():
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chat_history = gr.Chatbot(label="Chat History")
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response_box = gr.Textbox(label="Response")
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stop_scraping_flag = [False]
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start_button.click(start_scraping, inputs=[storage_location, urls, scrape_interval, content_type, stop_scraping_flag], outputs=csv_output)
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stop_button.click(stop_scraping, inputs=[stop_scraping_flag], outputs=[csv_output])
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message.submit(chat_interface, inputs=[message, chat_history, system_message, max_tokens, temperature, top_p, storage_location, urls, scrape_interval, content_type], outputs=[chat_history, response_box])
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# Add a button to display the CSV content for a selected URL
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