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Update app.py
Browse files
app.py
CHANGED
@@ -10,45 +10,13 @@ import io
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import asyncio
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import aiohttp
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import aiofiles
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import re
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from datetime import datetime
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import base64
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# 🧙♂️ Magical Utility Functions 🧙♂️
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def safe_filename(title):
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"""Convert a string to a safe filename. No more 'file not found' nightmares! 🙅♂️📁"""
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return re.sub(r'[^\w\-_\. ]', '_', title)
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-
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def create_date_directory():
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"""Create a directory named with the current date. It's like a time capsule for your downloads! 🗓️📦"""
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date_str = datetime.now().strftime("%Y-%m-%d")
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os.makedirs(date_str, exist_ok=True)
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return date_str
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def get_base64_download_link(content, filename):
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"""Create a base64 download link for text content. It's like teleportation for your files! 🌟📲"""
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b64 = base64.b64encode(content.encode()).decode()
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return f'<a href="data:text/plain;base64,{b64}" download="{filename}">Download {filename}</a>'
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# 🎬 Animated Banner Messages 🎬
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def animated_banner(message, emoji):
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"""Create an animated banner message. It's like a tiny parade for your console! 🎉🚩"""
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frames = [
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f"╔════ {emoji} ════╗\n║ {message:^16} ║\n╚════════════╝",
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f"╔════ {emoji} ════╗\n║ {message:^16} ║\n╚════════════╝",
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f"╔════{emoji}════╗\n║ {message:^14} ║\n╚══════════╝",
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f"╔═══{emoji}═══╗\n║ {message:^12} ║\n╚════════╝",
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f"╔══{emoji}══╗\n║ {message:^10} ║\n╚══════╝",
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f"╔═{emoji}═╗\n║ {message:^8} ║\n╚════╝",
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f"╔{emoji}╗\n║ {message:^6} ║\n╚══╝",
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]
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return frames
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# 🕵️♂️ Data Fetching and Caching Shenanigans 🕵️♂️
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def get_rank_papers(url, progress=gr.Progress(track_tqdm=True)):
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"""Fetch papers from the interwebs. It's like fishing, but for knowledge! 🎣📚"""
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base_url = "https://paperswithcode.com"
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session = requests.Session()
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headers = {
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@@ -68,7 +36,6 @@ def get_rank_papers(url, progress=gr.Progress(track_tqdm=True)):
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soup = BeautifulSoup(response.text, 'html.parser')
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paper_info = soup.find_all('div', class_='row infinite-item item paper-card')
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if not paper_info:
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print("No paper information found.")
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break
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for ppr in paper_info:
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title = ppr.find('h1').text.strip()
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@@ -77,20 +44,15 @@ def get_rank_papers(url, progress=gr.Progress(track_tqdm=True)):
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link = base_url + ppr.find('a')['href']
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else:
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link = ppr.find('a')['href']
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Github_Star = ppr.find('span', class_='badge badge-secondary').text.strip().replace(',', '') if ppr.find('span', class_='badge badge-secondary') else "0"
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pdf_link = ''
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try:
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response_link = session.get(link, headers=headers)
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soup_link = BeautifulSoup(response_link.text, 'html.parser')
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paper_info_link = soup_link.find_all('div', class_='paper-abstract')
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pdf_link = paper_info_link[0].find('div', class_='col-md-12').find('a')['href']
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except
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print(f"Title: {title}, Link: {link}, Github Star: {Github_Star}, PDF Link: {pdf_link}")
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if title not in data_list:
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data_list[title] = {'link': link, 'Github Star': int(Github_Star), 'pdf_link': pdf_link.strip()}
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else:
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@@ -103,19 +65,24 @@ def get_rank_papers(url, progress=gr.Progress(track_tqdm=True)):
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return data_list
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def load_cached_data(cache_file):
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"""Load cached data. It's like finding money in your old jeans! 💰🧵"""
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if os.path.exists(cache_file):
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with open(cache_file, 'r') as f:
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return json.load(f)
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return None
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def save_cached_data(data, cache_file):
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"""Save data to cache. Future you will thank present you! 🦸♂️🕰️"""
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with open(cache_file, 'w') as f:
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json.dump(data, f)
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def load_and_cache_data(url, cache_file):
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"""Load data from cache or fetch new data. It's like a time machine for your data! ⏰🔄"""
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cached_data = load_cached_data(cache_file)
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if cached_data:
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@@ -127,31 +94,7 @@ def load_and_cache_data(url, cache_file):
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save_cached_data(new_data, cache_file)
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return new_data
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# 📊 Data Processing and Display Magic 📊
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def format_dataframe(data):
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"""Format data into a pretty DataFrame. It's like giving your data a makeover! 💅📈"""
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if not data:
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print("No data found to format.")
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return pd.DataFrame()
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df = pd.DataFrame(data).T
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df['title'] = df.index
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# Check if required columns are present
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if 'Github Star' in df.columns and 'link' in df.columns and 'pdf_link' in df.columns:
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df = df[['title', 'Github Star', 'link', 'pdf_link']]
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df = df.sort_values(by='Github Star', ascending=False)
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df['link'] = df['link'].apply(lambda x: f'<a href="{x}" target="_blank">Link</a>')
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df['pdf_link'] = df['pdf_link'].apply(lambda x: f'<a href="{x}" target="_blank">{x}</a>')
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else:
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print("Required columns are missing in the dataframe.")
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print(f"Columns available: {df.columns}")
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return df
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def update_display(category):
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"""Update the display for a category. Freshen up your data like it's spring cleaning! 🧹🌸"""
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cache_file = f"{category}_papers_cache.json"
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url = f"https://paperswithcode.com/{category}" if category != "top" else "https://paperswithcode.com/"
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@@ -161,85 +104,94 @@ def update_display(category):
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return len(df), df.to_html(escape=False, index=False)
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def load_all_data():
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"""Load data for all categories. It's like a buffet for your brain! 🧠🍽️"""
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top_count, top_html = update_display("top")
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new_count, new_html = update_display("latest")
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greatest_count, greatest_html = update_display("greatest")
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return top_count, top_html, new_count, new_html, greatest_count, greatest_html
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async def
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"""Download and process a PDF. It's like turning lead into gold, but with papers! 📜✨"""
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pdf_url = paper_info['pdf_link']
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if not pdf_url:
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return f"
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try:
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timeout = aiohttp.ClientTimeout(total=60) # 60 seconds timeout
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async with session.get(pdf_url, timeout=timeout) as response:
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if response.status != 200:
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return f"
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pdf_content = await response.read()
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return f"🐜 PDF for {title} is tiny ({file_length} bytes). It's like a paper for ants! 🐜📄", None, None
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# Convert PDF to text
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pdf_file = io.BytesIO(pdf_content)
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pdf_reader = PyPDF2.PdfReader(pdf_file)
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text = ""
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for page in pdf_reader.pages:
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text += page.extract_text()
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if len(text) < 5000: # Check if the extracted text is less than 5KB
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return f"📉 Extracted text for {title} is too small ({len(text)} characters). It's not you, it's the PDF! 💔", None, None
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safe_title = safe_filename(title)
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async with aiofiles.open(
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await f.write(
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return f"
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except asyncio.TimeoutError:
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return f"
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except Exception as e:
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return f"
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async def process_papers(data, directory, progress=gr.Progress()):
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"""Process multiple papers asynchronously. It's like juggling papers, but faster! 🤹♂️📚"""
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async with aiohttp.ClientSession() as session:
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tasks = []
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for title, paper_info in data.items():
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task = asyncio.ensure_future(
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tasks.append(task)
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results = []
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successful_downloads = []
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errors = []
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for i, task in enumerate(asyncio.as_completed(tasks), start=1):
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result, filepath
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results.append(result)
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if filepath
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successful_downloads.append(
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else:
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errors.append(result)
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progress(i / len(tasks), f"
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# Display animated banner
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banner_frames = animated_banner("Processing", "📄")
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for frame in banner_frames:
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print(frame, end='\r')
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await asyncio.sleep(0.1)
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print(" " * len(banner_frames[-1]), end='\r') # Clear the last frame
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return results, successful_downloads, errors
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def download_all_papers(progress=gr.Progress()):
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"""Download and process all papers. It's like hosting a paper party, and everyone's invited! 🎉📚"""
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all_data = {}
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for category in ["top", "latest", "greatest"]:
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cache_file = f"{category}_papers_cache.json"
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date_directory = create_date_directory()
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results, successful_downloads, errors = asyncio.run(process_papers(all_data, date_directory, progress))
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text_contents = []
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for filepath, text in successful_downloads:
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filename = os.path.basename(filepath)
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download_links.append(get_base64_download_link(text, filename))
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text_contents.append(f"--- {filename} ---\n\n{text[:1000]}... (There's more, but we don't want to spoil the ending! 📚🔮)\n\n")
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-
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with gr.Blocks() as demo:
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gr.Markdown("<h1><center>Papers Leaderboard</center></h1>")
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download_button = gr.Button("📚 Download All Papers", variant="primary")
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download_output = gr.Textbox(label="Download Status")
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download_links = gr.HTML(label="Download Links")
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text_output = gr.Code(label="Paper Contents", language="python")
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download_button.click(fn=download_all_papers, inputs=None, outputs=[download_output, download_links, text_output])
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# Load initial data for all tabs
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demo.load(fn=load_all_data, outputs=[top_count, top_html, new_count, new_html, greatest_count, greatest_html])
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#
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demo.launch(share=True)
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import asyncio
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import aiohttp
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import aiofiles
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from concurrent.futures import ThreadPoolExecutor
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import re
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from datetime import datetime
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import zipfile
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import base64
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def get_rank_papers(url, progress=gr.Progress(track_tqdm=True)):
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base_url = "https://paperswithcode.com"
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session = requests.Session()
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headers = {
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soup = BeautifulSoup(response.text, 'html.parser')
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paper_info = soup.find_all('div', class_='row infinite-item item paper-card')
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if not paper_info:
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break
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for ppr in paper_info:
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title = ppr.find('h1').text.strip()
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link = base_url + ppr.find('a')['href']
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else:
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link = ppr.find('a')['href']
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Github_Star = ppr.find('span', class_='badge badge-secondary').text.strip().replace(',', '')
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pdf_link = ''
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try:
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response_link = session.get(link, headers=headers)
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soup_link = BeautifulSoup(response_link.text, 'html.parser')
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paper_info_link = soup_link.find_all('div', class_='paper-abstract')
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pdf_link = paper_info_link[0].find('div', class_='col-md-12').find('a')['href']
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except:
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pass
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if title not in data_list:
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data_list[title] = {'link': link, 'Github Star': int(Github_Star), 'pdf_link': pdf_link.strip()}
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else:
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return data_list
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def load_cached_data(cache_file):
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if os.path.exists(cache_file):
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with open(cache_file, 'r') as f:
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return json.load(f)
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return None
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def save_cached_data(data, cache_file):
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with open(cache_file, 'w') as f:
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json.dump(data, f)
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def format_dataframe(data):
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df = pd.DataFrame(data).T
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df['title'] = df.index
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df = df[['title', 'Github Star', 'link', 'pdf_link']]
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df['link'] = df['link'].apply(lambda x: f'<a href="{x}" target="_blank">Link</a>')
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df['pdf_link'] = df['pdf_link'].apply(lambda x: f'<a href="{x}" target="_blank">{x}</a>')
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return df
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def load_and_cache_data(url, cache_file):
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cached_data = load_cached_data(cache_file)
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if cached_data:
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save_cached_data(new_data, cache_file)
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return new_data
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def update_display(category):
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cache_file = f"{category}_papers_cache.json"
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url = f"https://paperswithcode.com/{category}" if category != "top" else "https://paperswithcode.com/"
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return len(df), df.to_html(escape=False, index=False)
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def load_all_data():
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top_count, top_html = update_display("top")
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new_count, new_html = update_display("latest")
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greatest_count, greatest_html = update_display("greatest")
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return top_count, top_html, new_count, new_html, greatest_count, greatest_html
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def safe_filename(title):
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"""Convert a string to a safe filename."""
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return re.sub(r'[^\w\-_\. ]', '_', title)
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def create_date_directory():
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"""Create a directory named with the current date."""
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date_str = datetime.now().strftime("%Y-%m-%d")
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os.makedirs(date_str, exist_ok=True)
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return date_str
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async def download_and_save_pdf(session, title, paper_info, directory):
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pdf_url = paper_info['pdf_link']
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if not pdf_url:
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return f"No PDF link available for: {title}", None
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try:
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timeout = aiohttp.ClientTimeout(total=60) # 60 seconds timeout
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async with session.get(pdf_url, timeout=timeout) as response:
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if response.status != 200:
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return f"Failed to download PDF for {title}: HTTP {response.status}", None
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pdf_content = await response.read()
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if len(pdf_content) < 2048: # Check if the PDF is less than 2KB
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return f"Downloaded PDF for {title} is too small (less than 2KB). Skipping.", None
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safe_title = safe_filename(title)
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filename = f"{safe_title}.pdf"
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filepath = os.path.join(directory, filename)
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async with aiofiles.open(filepath, 'wb') as f:
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await f.write(pdf_content)
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+
return f"Successfully saved: {filename}", filepath
|
145 |
except asyncio.TimeoutError:
|
146 |
+
return f"Timeout while downloading PDF for {title}", None
|
147 |
except Exception as e:
|
148 |
+
return f"Error saving PDF for {title}: {str(e)}", None
|
149 |
|
150 |
async def process_papers(data, directory, progress=gr.Progress()):
|
|
|
151 |
async with aiohttp.ClientSession() as session:
|
152 |
tasks = []
|
153 |
for title, paper_info in data.items():
|
154 |
+
task = asyncio.ensure_future(download_and_save_pdf(session, title, paper_info, directory))
|
155 |
tasks.append(task)
|
156 |
|
157 |
results = []
|
158 |
successful_downloads = []
|
159 |
errors = []
|
160 |
for i, task in enumerate(asyncio.as_completed(tasks), start=1):
|
161 |
+
result, filepath = await task
|
162 |
results.append(result)
|
163 |
+
if filepath:
|
164 |
+
successful_downloads.append(filepath)
|
165 |
else:
|
166 |
errors.append(result)
|
167 |
+
progress(i / len(tasks), f"Processed {i}/{len(tasks)} papers")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
168 |
|
169 |
return results, successful_downloads, errors
|
170 |
|
171 |
+
def zip_directory(files_to_zip, directory):
|
172 |
+
"""Zip the specified files."""
|
173 |
+
zip_filename = f"{directory}.zip"
|
174 |
+
with zipfile.ZipFile(zip_filename, 'w', zipfile.ZIP_DEFLATED) as zipf:
|
175 |
+
for file in files_to_zip:
|
176 |
+
zipf.write(file, os.path.relpath(file, os.path.join(directory, '..')))
|
177 |
+
return zip_filename
|
178 |
+
|
179 |
+
def get_base64_download_link(file_path):
|
180 |
+
"""Create a base64 download link for a file."""
|
181 |
+
with open(file_path, "rb") as file:
|
182 |
+
content = file.read()
|
183 |
+
b64 = base64.b64encode(content).decode()
|
184 |
+
return f'<a href="data:application/zip;base64,{b64}" download="{os.path.basename(file_path)}">Download {os.path.basename(file_path)}</a>'
|
185 |
+
|
186 |
+
def get_existing_zip_links():
|
187 |
+
"""Get download links for existing zip files."""
|
188 |
+
links = []
|
189 |
+
for file in os.listdir('.'):
|
190 |
+
if file.endswith('.zip') and os.path.isfile(file):
|
191 |
+
links.append(get_base64_download_link(file))
|
192 |
+
return "<br>".join(links)
|
193 |
+
|
194 |
def download_all_papers(progress=gr.Progress()):
|
|
|
195 |
all_data = {}
|
196 |
for category in ["top", "latest", "greatest"]:
|
197 |
cache_file = f"{category}_papers_cache.json"
|
|
|
202 |
date_directory = create_date_directory()
|
203 |
results, successful_downloads, errors = asyncio.run(process_papers(all_data, date_directory, progress))
|
204 |
|
205 |
+
if successful_downloads:
|
206 |
+
zip_file = zip_directory(successful_downloads, date_directory)
|
207 |
+
download_link = get_base64_download_link(zip_file)
|
208 |
+
else:
|
209 |
+
download_link = "No papers were successfully downloaded."
|
210 |
|
211 |
+
existing_links = get_existing_zip_links()
|
|
|
|
|
|
|
|
|
|
|
212 |
|
213 |
+
summary = f"Papers processed: {len(all_data)}\n"
|
214 |
+
summary += f"Successfully downloaded: {len(successful_downloads)}\n"
|
215 |
+
summary += f"Errors: {len(errors)}\n\n"
|
216 |
+
summary += "Error List:\n" + "\n".join(errors) if errors else "No errors occurred."
|
217 |
+
|
218 |
+
return summary, f"{download_link}<br><br>Previous downloads:<br>{existing_links}"
|
219 |
|
220 |
with gr.Blocks() as demo:
|
221 |
gr.Markdown("<h1><center>Papers Leaderboard</center></h1>")
|
|
|
241 |
download_button = gr.Button("📚 Download All Papers", variant="primary")
|
242 |
download_output = gr.Textbox(label="Download Status")
|
243 |
download_links = gr.HTML(label="Download Links")
|
244 |
+
download_button.click(fn=download_all_papers, inputs=None, outputs=[download_output, download_links])
|
|
|
|
|
245 |
|
246 |
# Load initial data for all tabs
|
247 |
demo.load(fn=load_all_data, outputs=[top_count, top_html, new_count, new_html, greatest_count, greatest_html])
|
248 |
|
249 |
+
# Launch the Gradio interface with a public link
|
250 |
+
demo.launch(share=True)
|
|