app.py

import os
import random

import gradio as gr

#links
Article = ""
Article = Article + " Gallery UI documentation: https://gradio.app/docs/"
Article = Article + " Unsplash free image source requires 5MP or larger images:  https://unsplash.com/"
Article = Article + " Github should also be a worthy alternative with free repos.  "
Article = Article + " Raw git content can be accessed by URL like so:  https://raw.github.com/AaronCWacker/Yggdrasil/images/"
Article = Article + " Originals go here: https://github.com/AaronCWacker/Yggdrasil/tree/main/images"
# Aaron_Wacker_health_and_medical_icon_set_on_white_background_bba24b60-9fcf-411b-9c00-dd1ba1e3553c.png


import os
import csv
import gradio as gr
from gradio import inputs, outputs
import huggingface_hub
from huggingface_hub import Repository
from datetime import datetime

DATASET_REPO_URL = "https://huggingface.co/datasets/awacke1/BookComposer"
DATA_FILENAME = "BookComposer.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__)

# overriding/appending to the gradio template
SCRIPT = """
<script>
if (!window.hasBeenRun) {
    window.hasBeenRun = true;
    console.log("should only happen once");
    document.querySelector("button.submit").click();
}
</script>
"""
with open(os.path.join(gr.networking.STATIC_TEMPLATE_LIB, "frontend", "index.html"), "a") as f:
    f.write(SCRIPT)



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


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:
            html = "<div class='chatbot'>"
            for row in rows:
                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):
    if name and message:
        with open(DATA_FILE, "a") as csvfile:
            writer = csv.DictWriter(csvfile, fieldnames=["name", "message", "time"])
            writer.writerow(
                {"name": name, "message": message, "time": str(datetime.now())}
            )
        commit_url = repo.push_to_hub()
        print(commit_url)

    return generate_html()


iface = gr.Interface(
    store_message,
    [
        inputs.Textbox(placeholder="Your name"),
        inputs.Textbox(placeholder="Your message", lines=2),
    ],
    "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()



def gan():
    r=store_message()
    
    images = [
        (random.choice(
            [
                "Comectress.png",
                "Comic Plate 1 - Amnesia.png",
                "Comic Plate 1 - Depths.png",
                "Comic Plate 1 - Helion.png",
                "Comic Plate 1 - Kitsune.png",
                "Comic Plate 1 - Sinbad.png",
                "Comic Plate 1 - Vampiress.png",
                "Comic Plate 2 - Amnesia.png",
                "Comic Plate 2 - Depths.png",
                "Comic Plate 2 - Helion.png",
                "Comic Plate 2 - Kitsune.png",
                "Comic Plate 2 - Sinbad.png",
                "Comic Plate 2 - Vampiress.png",
                "Comic Plate 3 - Amnesia.png",
                "Comic Plate 3 - Depths.png",
                "Comic Plate 3 - Helion.png",
                "Comic Plate 3 - Kitsune.png",
                "Comic Plate 3 - Vampiress.png",
                "Comic Plate 4 - Amnesia.png",
                "Comic Plate 4 - Depths.png",
                "Comic Plate 4 - Helion.png",
                "Comic Plate 4 - Kitsune.png",
                "Comic Plate 4 - Sinbad.png",
                "Comic Plate 4 - Vampiress.png",
                "Comic Plate 5 - Vampiress.png",
                "Gold Suit.png",
                "Heavens.png",
                "Red Dot Sight.png",
                "Starfire.png",
                "Vamp 1.png",
                "Vamp 2.png",
                "Vamp 3.png",
                "Vamp 4.png",
                "Whirlwind.png",
                "Zyphoria.png",
            ]
        ), f"label {i}" if i != 0 else "label" * 50)
        for i in range(10)
    ]
    return images


with gr.Blocks() as demo:
    with gr.Column(variant="panel"):
        [
        inputs.Textbox(placeholder="Your name"),
        inputs.Textbox(placeholder="Your message", lines=2),
        ]
        with gr.Row(variant="compact"):
            text = gr.Textbox(
                label="Health and Medical Icon Sets",
                show_label=False,
                max_lines=1,
                placeholder="Enter your prompt",
            ).style(
                container=False,
            )
            btn = gr.Button("Generate image").style(full_width=False)

        gallery = gr.Gallery(
            label="Generated images", show_label=False, elem_id="gallery"
        ).style(grid=[2], height="auto")

    btn.click(gan, None, gallery)

if __name__ == "__main__":
    demo.launch()