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import awesome_streamlit as ast
import streamlit as st
from backend.utils import get_current_ram_usage, ga
import backend.aragpt
import backend.home
import backend.processor
import backend.sa
import backend.qa
st.set_page_config(
page_title="TEST", page_icon="📖", initial_sidebar_state="expanded", layout="wide"
)
ga(st.__file__)
PAGES = {
"Home": backend.home,
"Arabic Text Preprocessor": backend.processor,
"Arabic Language Generation": backend.aragpt,
"Arabic Sentiment Analysis": backend.sa,
# "Arabic Sarcasm Detection": backend.sarcasm,
"Arabic Question Answering": backend.qa,
}
st.sidebar.title("Navigation")
selection = st.sidebar.radio("Pages", list(PAGES.keys()))
page = PAGES[selection]
# with st.spinner(f"Loading {selection} ..."):
ast.shared.components.write_page(page)
st.sidebar.header("Info")
st.sidebar.write("Made by [Wissam Antoun](https://twitter.com/wissam_antoun)")
st.sidebar.write(
"Pre-trained models are available on [HF Hub](https://huggingface.co/aubmindlab)"
)
st.sidebar.write(
"Models source code available on [GitHub](https://github.com/aub-mind/arabert)"
)
st.sidebar.write(
"App source code available on [GitHub](https://github.com/WissamAntoun/Arabic-NLP-app)"
)
if st.sidebar.checkbox("Show RAM usage"):
ram = get_current_ram_usage()
st.sidebar.write("Ram usage: {:.2f}/{:.2f} GB".format(ram[0], ram[1]))
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