sharner
Use dall-e image
de1e9d7
raw
history blame
1.78 kB
import gradio as gr
from PIL import Image
import hopsworks
project = hopsworks.login()
# fs = project.get_feature_store()
dataset_api = project.get_dataset_api()
dataset_api.download("Resources/images/news_image.png")
# dataset_api.download("Resources/images/general_sentiment_history.png")
# dataset_api.download("Resources/images/demo_sentiment_history.png")
news_headline = "Lucia celebration at KTH Library"
news_source = "KTH Library"
news_article = """This year Akademiska hus and KTH Library invites you to a warm and beautiful Lucia celebration in the library hall. We will get to listen to Kongliga Teknologkören (KTH choir) singing traditional Lucia hymns.
We will also offer traditional Lucia fika, mainly mulled wine (alcohol free), "lussebullar" and ginger bread cookies.
The Lucia celebration starts 7:30 in the morning. You are welcome to enter the library from 6:50. Please note that this is a popular event that may reach full capacity! First come, first served.
"""
with gr.Blocks() as demo:
gr.Markdown("# The Delight Dispatch ☀️🗞️</center>")
gr.Markdown("## Today's News: " + news_headline)
gr.Markdown("Reported by: " + news_source)
with gr.Row():
input_img = gr.Image("news_image.png", elem_id="news-img")
gr.Label("Illustation by DALL-E 3")
with gr.Row():
gr.Markdown(news_article)
# with gr.Row():
# with gr.Column():
# gr.Label("Sentiment History of News in General")
# input_img = gr.Image("general_sentiment_history.png", elem_id="general-history")
# with gr.Column():
# gr.Label("Sentiment History of News on this Demo")
# input_img = gr.Image("demo_sentiment_history.png", elem_id="demo-history")
demo.launch()