app.py

import os
import csv
import gradio as gr
import huggingface_hub
from huggingface_hub import Repository
from datetime import datetime

DATASET_REPO_URL = "https://huggingface.co/datasets/oskarastrom/cake-data"
DATA_FILENAME = "data.csv"
DATA_FILE = os.path.join("data", DATA_FILENAME)

HF_TOKEN = os.environ.get("HF_TOKEN")
print("is none?", HF_TOKEN is None)

print("hfh", huggingface_hub.__version__)



repo = Repository(
    local_dir="data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
)
repo.git_pull()


def generate_html() -> str:
    with open(DATA_FILE) as csvfile:
        reader = csv.DictReader(csvfile)
        rows = []
        for row in reader:
            rows.append(row)
        rows.reverse()
        if len(rows) == 0:
            return "no messages yet"
        else:
            print(rows)
            html = "<div class='chatbot'>"
            for row in rows:
                print(row)
                html += "<div>"
                html += f"<span>{row['name']}</span>"
                html += f"<span class='message'>{row['message']}</span>"
                html += "</div>"
            html += "</div>"
            return html


def store_message(name: str, message: str):
    global repo
    if name and message:
        repo.git_pull()
        with open(DATA_FILE, "a") as csvfile:
            writer = csv.DictWriter(csvfile, fieldnames=["name", "message", "time"])
            writer.writerow(
                {'winner': name, 'looser': message, 'time': str(datetime.now())}
            )
        commit_url = repo.push_to_hub()
        print(commit_url)
        repo.git_pull()

    return generate_html()


iface = gr.Interface(
    store_message,
    [
        gr.Textbox(placeholder="Your name"),
        gr.Textbox(placeholder="Your message", lines=2),
    ],
    gr.HTML(generate_html()),
    css="""
    .message {background-color:cornflowerblue;color:white; padding:4px;margin:4px;border-radius:4px; }
    """,
    title="Reading/writing to a HuggingFace dataset repo from Spaces",
    description=f"This is a demo of how to do simple *shared data persistence* in a Gradio Space, backed by a dataset repo.",
    article=f"The dataset repo is [{DATASET_REPO_URL}]({DATASET_REPO_URL}) (open in new tab)",
)

iface.launch()