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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)
# -------------------------------------------- For Memory - you will need to set up a dataset and HF_TOKEN ---------
UseMemory=False
DATASET_REPO_URL="https://huggingface.co/datasets/awacke1/ChatbotMemory.csv"
DATASET_REPO_ID="awacke1/ChatbotMemory.csv"
DATA_FILENAME="ChatbotMemory.csv"
DATA_FILE=os.path.join("data", DATA_FILENAME)
HF_TOKEN=os.environ.get("HF_TOKEN")
if UseMemory:
try:
hf_hub_download(
repo_id=DATASET_REPO_ID,
filename=DATA_FILENAME,
cache_dir=DATA_DIRNAME,
force_filename=DATA_FILENAME
)
except:
print("file not found")
repo = Repository(
local_dir="data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
)
def get_df(name: str):
dataset = load_dataset(str, split="train")
return dataset
#def store_message(name: str, message: str) -> str:
def store_message(name: str, message: str):
if name and message:
with open(DATA_FILE, "a") as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=[ "time", "message", "name", ])
writer.writerow(
{"time": str(datetime.now()), "message": message.strip(), "name": name.strip() }
)
commit_url = repo.push_to_hub()
# test api retrieval of any dataset that is saved, then return it...
# app = FastAPI()
# see: https://gradio.app/sharing_your_app/#api-page
# f=get_df(DATASET_REPO_ID)
# print(f)
#return commit_url
return ""
# ----------------------------------------------- For Memory
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
return generate_html()
def gan():
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)
btn2 = gr.Button("Generate story").style(full_width=False)
gallery = gr.Gallery(
label="Generated images", show_label=False, elem_id="gallery"
).style(grid=[2], height="auto")
gallery2 = gr.Gallery(
label="Generated images 2", show_label=False, elem_id="gallery"
).style(grid=[2], height="auto")
btn.click(gan, None, gallery)
if __name__ == "__main__":
demo.launch()