Personalized News Digest: AI-Curated Daily Briefs From Live RSS Feeds

# Personalized News Digest Generator — Streamlit + Groq + feedparser
# Save as app.py, add GROQ_API_KEY to .streamlit/secrets.toml, then: streamlit run app.py

import ssl
from datetime import datetime

import feedparser
import httpx
import streamlit as st
import truststore

MAX_ARTICLES = 8
MAX_ARTICLE_CHARS = 1200

st.set_page_config(page_title="Personalized News Digest", layout="centered")
st.title("Personalized News Digest")
st.caption(
    "Pick your topics, choose a reading style, and get a curated digest of today's "
    "top stories — summarized in the tone that works for you."
)

_ssl_ctx = truststore.SSLContext(ssl.PROTOCOL_TLS_CLIENT)


@st.cache_resource
def _groq_client():
    import groq

    return groq.Groq(
        api_key=st.secrets["GROQ_API_KEY"],
        http_client=httpx.Client(verify=_ssl_ctx),
    )


_MODEL = "llama-3.3-70b-versatile"

RSS_FEEDS = {
    "Technology": "https://feeds.feedburner.com/TechCrunch",
    "AI & Machine Learning": "https://rss.beehiiv.com/feeds/mTCMoB7KJO.xml",
    "Science": "https://www.sciencedaily.com/rss/top.xml",
    "Business": "https://feeds.bloomberg.com/markets/news.rss",
    "World News": "https://feeds.bbci.co.uk/news/world/rss.xml",
    "Health": "https://feeds.webmd.com/rss/rss.aspx?RSSSource=RSS_PUBLIC",
    "Finance": "https://www.reddit.com/r/finance/.rss",
    "Programming": "https://www.reddit.com/r/programming/.rss",
}

TONES = {
    "Beginner-Friendly": "Use simple language, avoid jargon, explain any technical terms.",
    "Technical": "Use precise technical language, include relevant details and data.",
    "Executive Brief": "Be extremely concise. Focus on business impact and key decisions only.",
    "Casual": "Write in a conversational, engaging tone like you're explaining to a friend.",
}

# ── Settings ───────────────────────────────────────────────────────────────────
with st.sidebar:
    st.header("Preferences")
    selected_topics = st.multiselect(
        "Topics you care about",
        list(RSS_FEEDS.keys()),
        default=["Technology", "AI & Machine Learning"],
    )
    tone = st.selectbox("Reading style", list(TONES.keys()))
    num_stories = st.slider("Stories per topic", 1, 5, 3)
    custom_topics = st.text_input(
        "Custom topic (optional)",
        placeholder="e.g. climate change, crypto",
    )

generate_btn = st.button("Generate My Digest", type="primary", use_container_width=True)

if generate_btn:
    if not selected_topics and not custom_topics.strip():
        st.warning("Select at least one topic.")
        st.stop()

    # ── Fetch RSS articles ─────────────────────────────────────────────────────
    articles_by_topic: dict[str, list[dict]] = {}

    with st.spinner("Fetching latest news…"):
        for topic in selected_topics:
            feed_url = RSS_FEEDS[topic]
            try:
                feed = feedparser.parse(feed_url)
                entries = feed.entries[:num_stories]
                items = []
                for entry in entries:
                    title = entry.get("title", "No title")
                    summary = entry.get("summary", entry.get("description", ""))[:MAX_ARTICLE_CHARS]
                    link = entry.get("link", "")
                    items.append({"title": title, "summary": summary, "link": link})
                if items:
                    articles_by_topic[topic] = items
            except Exception:
                articles_by_topic[topic] = []

    # ── Build prompt ───────────────────────────────────────────────────────────
    articles_text = ""
    for topic, items in articles_by_topic.items():
        articles_text += f"\n## {topic}\n"
        for i, item in enumerate(items, 1):
            articles_text += f"{i}. {item['title']}\n{item['summary']}\n\n"

    tone_instruction = TONES[tone]
    today = datetime.now().strftime("%B %d, %Y")

    system_msg = (
        f"You are a professional news curator creating a personalized digest for {today}. "
        f"Tone: {tone_instruction}\n\n"
        "For each topic section, write:\n"
        "1. A 1-sentence section intro\n"
        "2. Each story as: **[Story title]** — [2-3 sentence summary focusing on why it matters]\n\n"
        "End with a '## Key Takeaway' section with 2-3 cross-topic insights.\n"
        "Only use information from the provided articles. Do not invent facts."
    )
    user_msg = f"Here are today's articles:\n{articles_text[:10000]}"

    if custom_topics.strip():
        user_msg += f"\n\nAlso include a brief section on: {custom_topics} (based on your training data, clearly labeled as 'General Knowledge')."

    with st.spinner("Generating your digest…"):
        try:
            resp = _groq_client().chat.completions.create(
                model=_MODEL,
                messages=[
                    {"role": "system", "content": system_msg},
                    {"role": "user", "content": user_msg},
                ],
            )
            digest = resp.choices[0].message.content

            st.markdown(f"## Your News Digest — {today}")
            st.markdown(digest)

            st.divider()
            st.caption("Sources")
            for topic, items in articles_by_topic.items():
                for item in items:
                    if item["link"]:
                        st.markdown(f"- [{item['title']}]({item['link']})")

            st.download_button(
                "Download Digest (.txt)",
                data=digest,
                file_name=f"digest_{datetime.now().strftime('%Y%m%d')}.txt",
                mime="text/plain",
            )
        except Exception as exc:
            st.error(f"Error generating digest: {exc}")