# app.py import streamlit as st from transformers import pipeline from langdetect import detect from gingerit.gingerit import GingerIt # Initialize models summarizer = pipeline("summarization") translator = pipeline("translation", model="Helsinki-NLP/opus-mt-en-ur") corrector = GingerIt() st.set_page_config(page_title="CSS AI Assistant by Komal", layout="wide") st.title("📚 CSS AI Assistant 🇵🇰") st.write("Helping students with news summaries, precis, essays & more — for free!") menu = st.sidebar.radio("Select Feature", [ "Daily News Summary", "Precis Evaluation", "Essay Feedback", "Saved Notes" ]) # --- Daily News Summary --- if menu == "Daily News Summary": st.header("📰 AI-Powered News Summarizer") user_news = st.text_area("Paste or write today's news:", height=200) lang = st.radio("Language", ["English", "Urdu"]) if st.button("Summarize") and user_news: summary = summarizer(user_news, max_length=100, min_length=30, do_sample=False)[0]['summary_text'] if lang == "Urdu": translation = translator(summary)[0]['translation_text'] st.success("Summary in Urdu:") st.write(translation) else: st.success("Summary in English:") st.write(summary) # --- Precis Evaluation --- elif menu == "Precis Evaluation": st.header("✍️ Precis Evaluation Tool") precis_input = st.text_area("Enter your precis for evaluation:", height=200) if st.button("Evaluate Precis") and precis_input: result = corrector.parse(precis_input) st.success("✅ Corrected Precis:") st.write(result['result']) # --- Essay Feedback --- elif menu == "Essay Feedback": st.header("🖋️ Essay Evaluation Tool") essay_input = st.text_area("Paste your essay here:", height=300) if st.button("Evaluate Essay") and essay_input: result = corrector.parse(essay_input) st.success("✅ Suggestions:") st.write(result['result']) # --- Saved Notes (Stub) --- elif menu == "Saved Notes": st.header("💾 Saved Notes") st.info("Note saving functionality coming soon!") st.write("You will be able to store and download your summaries and corrected answers here.")