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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])) | |