Create app.py

app.py

@@ -0,0 +1,252 @@
+import requests
+from bs4 import BeautifulSoup
+import pandas as pd
+import gradio as gr
+import time
+import os
+import json
+import PyPDF2
+import io
+import asyncio
+import aiohttp
+import aiofiles
+from concurrent.futures import ThreadPoolExecutor
+import re
+from datetime import datetime
+import zipfile
+import base64
+
+def get_rank_papers(url, progress=gr.Progress(track_tqdm=True)):
+    base_url = "https://paperswithcode.com"
+    session = requests.Session()
+    headers = {
+        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3',
+        'Cache-Control': 'no-cache'
+    }
+    print("Time run at : ", time.ctime())
+    offset = 0
+    data_list = {}
+    break_duplicate = 10
+    
+    while True:
+        response = session.get(url, headers=headers, params={'page': offset})
+        if response.status_code != 200:
+            print('Failed to retrieve data')
+            break
+        soup = BeautifulSoup(response.text, 'html.parser')
+        paper_info = soup.find_all('div', class_='row infinite-item item paper-card')
+        if not paper_info:
+            break
+        for ppr in paper_info:
+            title = ppr.find('h1').text.strip()
+            
+            if "paper" in ppr.find('a')['href']:
+                link = base_url + ppr.find('a')['href']
+            else:
+                link = ppr.find('a')['href'] 
+            Github_Star = ppr.find('span', class_='badge badge-secondary').text.strip().replace(',', '')
+            pdf_link = ''
+            try:
+                response_link = session.get(link, headers=headers)
+                soup_link = BeautifulSoup(response_link.text, 'html.parser')
+                paper_info_link = soup_link.find_all('div', class_='paper-abstract')
+                pdf_link = paper_info_link[0].find('div', class_='col-md-12').find('a')['href']
+            except:
+                pass
+            if title not in data_list:
+                data_list[title] = {'link': link, 'Github Star': int(Github_Star), 'pdf_link': pdf_link.strip()}
+            else:
+                break_duplicate -= 1
+                if break_duplicate == 0:
+                    return data_list
+        offset += 1 
+        progress.update(offset)
+    print('Data retrieval complete')   
+    return data_list
+
+def load_cached_data(cache_file):
+    if os.path.exists(cache_file):
+        with open(cache_file, 'r') as f:
+            return json.load(f)
+    return None
+
+def save_cached_data(data, cache_file):
+    with open(cache_file, 'w') as f:
+        json.dump(data, f)
+
+def format_dataframe(data):
+    df = pd.DataFrame(data).T
+    df['title'] = df.index
+    df = df[['title', 'Github Star', 'link', 'pdf_link']]
+    # Sort the dataframe by 'Github Star' in descending order
+    df = df.sort_values(by='Github Star', ascending=False)
+    df['link'] = df['link'].apply(lambda x: f'<a href="{x}" target="_blank">Link</a>')
+    df['pdf_link'] = df['pdf_link'].apply(lambda x: f'<a href="{x}" target="_blank">{x}</a>')
+    return df
+
+def load_and_cache_data(url, cache_file):
+    cached_data = load_cached_data(cache_file)
+    
+    if cached_data:
+        print(f"Loading cached data from {cache_file}")
+        return cached_data
+    
+    print(f"Fetching new data from {url}")
+    new_data = get_rank_papers(url)
+    save_cached_data(new_data, cache_file)
+    return new_data
+
+def update_display(category):
+    cache_file = f"{category}_papers_cache.json"
+    url = f"https://paperswithcode.com/{category}" if category != "top" else "https://paperswithcode.com/"
+    
+    data = load_and_cache_data(url, cache_file)
+    df = format_dataframe(data)
+    
+    return len(df), df.to_html(escape=False, index=False)
+
+def load_all_data():
+    top_count, top_html = update_display("top")
+    new_count, new_html = update_display("latest")
+    greatest_count, greatest_html = update_display("greatest")
+    return top_count, top_html, new_count, new_html, greatest_count, greatest_html
+
+def safe_filename(title):
+    """Convert a string to a safe filename."""
+    return re.sub(r'[^\w\-_\. ]', '_', title)
+
+def create_date_directory():
+    """Create a directory named with the current date."""
+    date_str = datetime.now().strftime("%Y-%m-%d")
+    os.makedirs(date_str, exist_ok=True)
+    return date_str
+
+async def download_and_save_pdf(session, title, paper_info, directory):
+    pdf_url = paper_info['pdf_link']
+    if not pdf_url:
+        return f"No PDF link available for: {title}", None
+    
+    try:
+        timeout = aiohttp.ClientTimeout(total=60)  # 60 seconds timeout
+        async with session.get(pdf_url, timeout=timeout) as response:
+            if response.status != 200:
+                return f"Failed to download PDF for {title}: HTTP {response.status}", None
+            pdf_content = await response.read()
+        
+        if len(pdf_content) < 2048:  # Check if the PDF is less than 2KB
+            return f"Downloaded PDF for {title} is too small (less than 2KB). Skipping.", None
+        
+        safe_title = safe_filename(title)
+        filename = f"{safe_title}.pdf"
+        filepath = os.path.join(directory, filename)
+        
+        async with aiofiles.open(filepath, 'wb') as f:
+            await f.write(pdf_content)
+        
+        return f"Successfully saved: {filename}", filepath
+    except asyncio.TimeoutError:
+        return f"Timeout while downloading PDF for {title}", None
+    except Exception as e:
+        return f"Error saving PDF for {title}: {str(e)}", None
+
+async def process_papers(data, directory, progress=gr.Progress()):
+    async with aiohttp.ClientSession() as session:
+        tasks = []
+        for title, paper_info in data.items():
+            task = asyncio.ensure_future(download_and_save_pdf(session, title, paper_info, directory))
+            tasks.append(task)
+        
+        results = []
+        successful_downloads = []
+        errors = []
+        for i, task in enumerate(asyncio.as_completed(tasks), start=1):
+            result, filepath = await task
+            results.append(result)
+            if filepath:
+                successful_downloads.append(filepath)
+            else:
+                errors.append(result)
+            progress(i / len(tasks), f"Processed {i}/{len(tasks)} papers")
+    
+    return results, successful_downloads, errors
+
+def zip_directory(files_to_zip, directory):
+    """Zip the specified files."""
+    zip_filename = f"{directory}.zip"
+    with zipfile.ZipFile(zip_filename, 'w', zipfile.ZIP_DEFLATED) as zipf:
+        for file in files_to_zip:
+            zipf.write(file, os.path.relpath(file, os.path.join(directory, '..')))
+    return zip_filename
+
+def get_base64_download_link(file_path):
+    """Create a base64 download link for a file."""
+    with open(file_path, "rb") as file:
+        content = file.read()
+        b64 = base64.b64encode(content).decode()
+        return f'<a href="data:application/zip;base64,{b64}" download="{os.path.basename(file_path)}">Download {os.path.basename(file_path)}</a>'
+
+def get_existing_zip_links():
+    """Get download links for existing zip files."""
+    links = []
+    for file in os.listdir('.'):
+        if file.endswith('.zip') and os.path.isfile(file):
+            links.append(get_base64_download_link(file))
+    return "<br>".join(links)
+
+def download_all_papers(progress=gr.Progress()):
+    all_data = {}
+    for category in ["top", "latest", "greatest"]:
+        cache_file = f"{category}_papers_cache.json"
+        data = load_cached_data(cache_file)
+        if data:
+            all_data.update(data)
+    
+    date_directory = create_date_directory()
+    results, successful_downloads, errors = asyncio.run(process_papers(all_data, date_directory, progress))
+    
+    if successful_downloads:
+        zip_file = zip_directory(successful_downloads, date_directory)
+        download_link = get_base64_download_link(zip_file)
+    else:
+        download_link = "No papers were successfully downloaded."
+    
+    existing_links = get_existing_zip_links()
+    
+    summary = f"Papers processed: {len(all_data)}\n"
+    summary += f"Successfully downloaded: {len(successful_downloads)}\n"
+    summary += f"Errors: {len(errors)}\n\n"
+    summary += "Error List:\n" + "\n".join(errors) if errors else "No errors occurred."
+    
+    return summary, f"{download_link}<br><br>Previous downloads:<br>{existing_links}"
+
+with gr.Blocks() as demo:
+    gr.Markdown("<h1><center>Papers Leaderboard</center></h1>")
+    
+    with gr.Tab("Top Trending Papers"):
+        top_count = gr.Textbox(label="Number of Papers Fetched")
+        top_html = gr.HTML()
+        top_button = gr.Button("Refresh Leaderboard")
+        top_button.click(fn=lambda: update_display("top"), inputs=None, outputs=[top_count, top_html])
+    
+    with gr.Tab("New Papers"):
+        new_count = gr.Textbox(label="Number of Papers Fetched")
+        new_html = gr.HTML()
+        new_button = gr.Button("Refresh Leaderboard")
+        new_button.click(fn=lambda: update_display("latest"), inputs=None, outputs=[new_count, new_html])
+    
+    with gr.Tab("Greatest Papers"):
+        greatest_count = gr.Textbox(label="Number of Papers Fetched")
+        greatest_html = gr.HTML()
+        greatest_button = gr.Button("Refresh Leaderboard")
+        greatest_button.click(fn=lambda: update_display("greatest"), inputs=None, outputs=[greatest_count, greatest_html])
+
+    download_button = gr.Button("📚 Download All Papers", variant="primary")
+    download_output = gr.Textbox(label="Download Status")
+    download_links = gr.HTML(label="Download Links")
+    download_button.click(fn=download_all_papers, inputs=None, outputs=[download_output, download_links])
+
+    # Load initial data for all tabs
+    demo.load(fn=load_all_data, outputs=[top_count, top_html, new_count, new_html, greatest_count, greatest_html])
+
+# Launch the Gradio interface with a public link
+demo.launch(share=True)