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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 markdown
import asyncio
import aiohttp
import aiofiles
from concurrent.futures import ThreadPoolExecutor
# ... (keep the existing functions like get_rank_papers, load_cached_data, save_cached_data, format_dataframe, load_and_cache_data, update_display, load_all_data)
async def download_and_convert_pdf(session, title, paper_info):
pdf_url = paper_info['pdf_link']
cache_file = f"cache/{title.replace(' ', '_')}.md"
if os.path.exists(cache_file):
async with aiofiles.open(cache_file, 'r') as f:
return await f.read()
if not pdf_url:
return f"# {title}\n\nNo PDF link available.\n\n---\n\n"
try:
async with session.get(pdf_url) as response:
pdf_content = await response.read()
pdf_file = io.BytesIO(pdf_content)
pdf_reader = PyPDF2.PdfReader(pdf_file)
text = ""
for page in pdf_reader.pages:
text += page.extract_text()
markdown_text = f"# {title}\n\n{text}\n\n---\n\n"
os.makedirs('cache', exist_ok=True)
async with aiofiles.open(cache_file, 'w') as f:
await f.write(markdown_text)
return markdown_text
except Exception as e:
return f"# {title}\n\nError processing PDF: {str(e)}\n\n---\n\n"
async def process_papers(data, progress=gr.Progress()):
async with aiohttp.ClientSession() as session:
tasks = []
for title, paper_info in data.items():
task = asyncio.ensure_future(download_and_convert_pdf(session, title, paper_info))
tasks.append(task)
consolidated_text = ""
for i, task in enumerate(asyncio.as_completed(tasks), start=1):
markdown_text = await task
consolidated_text += markdown_text
progress(i / len(tasks), f"Processed {i}/{len(tasks)} papers")
return consolidated_text
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)
consolidated_text = asyncio.run(process_papers(all_data, progress))
with open("consolidated_papers.md", "w", encoding="utf-8") as f:
f.write(consolidated_text)
return "All papers have been downloaded and consolidated into 'consolidated_papers.md'"
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")
markdown_output = gr.Markdown(label="Paper Content")
download_button.click(fn=download_all_papers, inputs=None, outputs=[download_output, markdown_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])
# Launch the Gradio interface with a public link
demo.launch(share=True) |