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| # import | |
| import streamlit as st | |
| from parstdex import Parstdex | |
| # set config | |
| st.set_page_config(layout="wide", page_title="Parstdex") | |
| model = Parstdex() | |
| # APP | |
| # set title and subtitle | |
| st.title("Parstdex") | |
| st.markdown("Demo of Parstdex Python Package: https://github.com/kargaranamir/parstdex") | |
| st.markdown("Paste any persian (farsi) text you want to extract its time and date 🖖.") | |
| # create the input text box and setting panel | |
| text = st.text_area('Paste your text here...', "ساعت ۸ صبح من و علی قرار گذاشتیم که شانزده بهمن ۱۳۷۵ هم دیگر را در دوشنبه بازار ببینیم.", height=50) | |
| button = st.button("Extract") | |
| # if button is clicked | |
| with st.spinner("Processing Text and Extracting..."): | |
| if button and text: | |
| # extract markers from the text | |
| spans = model.extract_span(text) | |
| markers = model.extract_marker(text) | |
| time_mls = model.extract_time_ml(text) | |
| ners = model.extract_ner(text) | |
| # display the result | |
| st.markdown("**Span:**") | |
| st.write(spans) | |
| st.markdown("**Marker:**") | |
| st.write(markers) | |
| st.markdown("**Time_ML:**") | |
| st.write(f"\u202b{time_mls}\u202c") | |
| st.markdown("**NER:**") | |
| st.write(ners) |