app.py

import streamlit as st
from transformers import pipeline
from langdetect import detect
import language_tool_python

# Initialize models
summarizer = pipeline("summarization")
translator = pipeline("translation", model="Helsinki-NLP/opus-mt-en-ur")
corrector = language_tool_python.LanguageTool('en-US')

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:
        matches = corrector.check(precis_input)
        corrected = language_tool_python.utils.correct(precis_input, matches)
        st.success("✅ Corrected Precis:")
        st.write(corrected)
        st.warning("⚠️ Mistakes Highlighted:")
        for m in matches:
            st.write(f"- {m.ruleId}: {m.message} (at position {m.offset})")

# --- 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:
        matches = corrector.check(essay_input)
        corrected = language_tool_python.utils.correct(essay_input, matches)
        st.success("✅ Suggestions:")
        st.write(corrected)
        st.info(f"🔍 {len(matches)} grammar/style issues found.")
        for m in matches:
            st.write(f"- {m.message} (Rule: {m.ruleId})")

# --- 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.")