Upload bharatpulse.py

bharatpulse.py

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+import streamlit as st
+import feedparser
+from transformers import pipeline
+
+st.set_page_config(page_title="🇮🇳 BharatPulse", layout="wide")
+
+# Load summarizer
+@st.cache_resource
+def load_summarizer():
+    return pipeline("summarization", model="facebook/bart-large-cnn")
+
+summarizer = load_summarizer()
+
+# News source
+NEWS_FEEDS = {
+    "NDTV": "https://feeds.feedburner.com/ndtvnews-top-stories",
+    "India Today": "https://www.indiatoday.in/rss/home",
+    "The Hindu": "https://www.thehindu.com/news/national/feeder/default.rss"
+}
+
+# Title
+st.title("🇮🇳 BharatPulse")
+st.subheader("Live News Feeds & Public Sentiment Collector (MVP)")
+
+# News source selection
+source = st.selectbox("📰 Choose News Source", list(NEWS_FEEDS.keys()))
+feed = feedparser.parse(NEWS_FEEDS[source])
+
+st.markdown("### 🗞️ Latest News Headlines from India")
+for entry in feed.entries[:5]:
+    st.write(f"**🗞️ {entry.title}**")
+    st.write(entry.published)
+    st.markdown(f"[Read more]({entry.link})", unsafe_allow_html=True)
+    if st.button(f"🔍 Summarize: {entry.title}"):
+        with st.spinner("Summarizing..."):
+            summary = summarizer(entry.summary[:1024], max_length=100, min_length=30, do_sample=False)[0]['summary_text']
+            st.success(summary)
+    st.markdown("---")
+
+# Public Sentiment Collector
+st.markdown("## 📣 Share Your Voice – Public Sentiment Collector")
+with st.form("sentiment_form"):
+    name = st.text_input("Your Name (Optional)", "")
+    region = st.text_input("Your Region / State")
+    language = st.text_input("Language")
+    topic = st.text_input("Topic")
+    sentiment = st.radio("Sentiment", ["Positive", "Negative", "Neutral"])
+    message = st.text_area("Your Message (in your local language or English)")
+    submitted = st.form_submit_button("Submit")
+
+    if submitted:
+        st.success("✅ Thank you for sharing your opinion!")
+        st.markdown(f"**Name:** {name or 'Anonymous'}")
+        st.markdown(f"**Region:** {region}, **Language:** {language}, **Topic:** {topic}")
+        st.markdown(f"**Sentiment:** {sentiment}")
+        st.markdown(f"**Message:** {message}")