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# 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.")
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