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import gradio as gr
from huggingface_hub import HfApi
from datasets import load_dataset, Dataset
import os
import uuid
import json
# Set your HF credentials
HF_TOKEN = os.getenv("HF_TOKEN") # In Space, add as a secret variable
DATASET_REPO = "your-username/submitted-papers" # Replace with your dataset repo
# Load dataset (or create dummy if doesn't exist)
def append_to_dataset(entry):
try:
# Load current dataset
dataset = load_dataset(DATASET_REPO, split="train", token=HF_TOKEN)
data = dataset.to_list()
except Exception:
data = []
# Append new entry
data.append(entry)
# Save locally and push
new_dataset = Dataset.from_list(data)
new_dataset.push_to_hub(DATASET_REPO, token=HF_TOKEN)
def submit_paper(title, authors, abstract, category, paper_url, originality):
if not originality:
return "You must confirm that this is your own submission."
entry = {
"id": str(uuid.uuid4()),
"title": title,
"authors": authors,
"abstract": abstract,
"category": category,
"url": paper_url
}
append_to_dataset(entry)
return "✅ Submission successful!"
# Gradio interface
with gr.Blocks() as demo:
gr.Markdown("## 📄 Submit Your Paper")
with gr.Row():
title = gr.Textbox(label="Title", placeholder="Enter paper title")
authors = gr.Textbox(label="Authors", placeholder="Jane Doe, John Smith")
abstract = gr.Textbox(label="Abstract", lines=6)
category = gr.Dropdown(
label="Category",
choices=["NLP", "CV", "Audio", "Theory", "Robotics", "Other"],
value="NLP"
)
paper_url = gr.Textbox(label="Paper URL (arXiv or PDF)", placeholder="https://...")
originality = gr.Checkbox(label="I confirm this is my own work")
submit_btn = gr.Button("Submit")
output = gr.Textbox(label="Status", interactive=False)
submit_btn.click(
fn=submit_paper,
inputs=[title, authors, abstract, category, paper_url, originality],
outputs=output
)
demo.launch()
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