Update app.py

app.py

@@ -13,185 +13,74 @@ 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)
+# ... (keep all the previous functions up to create_date_directory)
 
-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):
+async def download_and_process_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
+        return f"No PDF link available for: {title}", None, 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
+                return f"Failed to download PDF for {title}: HTTP {response.status}", None, 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
+        file_length = len(pdf_content)
+        if file_length < 5000:  # Check if the PDF is less than 5KB
+            return f"Downloaded PDF for {title} is too small ({file_length} bytes). Skipping.", None, None
+        
+        # Convert PDF to text
+        pdf_file = io.BytesIO(pdf_content)
+        pdf_reader = PyPDF2.PdfReader(pdf_file)
+        text = ""
+        for page in pdf_reader.pages:
+            text += page.extract_text()
+        
+        if len(text) < 5000:  # Check if the extracted text is less than 5KB
+            return f"Extracted text for {title} is too small ({len(text)} characters). Skipping.", None, None
         
         safe_title = safe_filename(title)
-        filename = f"{safe_title}.pdf"
-        filepath = os.path.join(directory, filename)
+        txt_filename = f"{safe_title}.txt"
+        txt_filepath = os.path.join(directory, txt_filename)
         
-        async with aiofiles.open(filepath, 'wb') as f:
-            await f.write(pdf_content)
+        async with aiofiles.open(txt_filepath, 'w', encoding='utf-8') as f:
+            await f.write(text)
         
-        return f"Successfully saved: {filename}", filepath
+        return f"Successfully processed: {txt_filename} (File length: {file_length} bytes)", txt_filepath, text
     except asyncio.TimeoutError:
-        return f"Timeout while downloading PDF for {title}", None
+        return f"Timeout while downloading PDF for {title}", None, None
     except Exception as e:
-        return f"Error saving PDF for {title}: {str(e)}", None
+        return f"Error processing PDF for {title}: {str(e)}", None, 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))
+            task = asyncio.ensure_future(download_and_process_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
+            result, filepath, text = await task
             results.append(result)
-            if filepath:
-                successful_downloads.append(filepath)
+            if filepath and text:
+                successful_downloads.append((filepath, text))
             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 get_base64_download_link(content, filename):
+    """Create a base64 download link for text content."""
+    b64 = base64.b64encode(content.encode()).decode()
+    return f'<a href="data:text/plain;base64,{b64}" download="{filename}">Download {filename}</a>'
 
 def download_all_papers(progress=gr.Progress()):
     all_data = {}
@@ -204,20 +93,19 @@ def download_all_papers(progress=gr.Progress()):
     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"Successfully downloaded and converted: {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}"
+    download_links = []
+    text_contents = []
+    for filepath, text in successful_downloads:
+        filename = os.path.basename(filepath)
+        download_links.append(get_base64_download_link(text, filename))
+        text_contents.append(f"--- {filename} ---\n\n{text[:1000]}...\n\n")  # Show first 1000 characters
+    
+    return summary, "<br>".join(download_links), "\n".join(text_contents)
 
 with gr.Blocks() as demo:
     gr.Markdown("<h1><center>Papers Leaderboard</center></h1>")
@@ -243,7 +131,8 @@ with gr.Blocks() as demo:
     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])
+    text_output = gr.Code(label="Paper Contents", language="text")
+    download_button.click(fn=download_all_papers, inputs=None, outputs=[download_output, download_links, text_output])
 
     # 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])