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Update src/streamlit_app.py
Browse files- src/streamlit_app.py +168 -110
src/streamlit_app.py
CHANGED
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import streamlit as st
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import feedparser
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import requests
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from bs4 import BeautifulSoup
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from newspaper import Article
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import time
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import json
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import datetime
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import hashlib
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import os
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st.set_page_config(
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page_title="భారత్ పల్స్ (BharatPulse)",
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page_icon="📰",
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layout="wide"
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)
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# --- Auth Setup ---
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USERS_FILE = "/tmp/users.json"
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def load_users():
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if os.path.exists(USERS_FILE):
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def save_users(users):
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with open(USERS_FILE, "w") as f:
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json.dump(users, f, indent=2)
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def
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users = load_users()
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if
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return
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def register_user(username, email, password, location=""):
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users = load_users()
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if username in users:
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return False, "User already exists"
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users[username] = {
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"email": email,
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"password":
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"location": location
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"created": datetime.datetime.now().strftime("%Y-%m-%d")
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}
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save_users(users)
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return True, "Registration successful"
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if "logged_in" not in st.session_state:
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st.session_state.logged_in = False
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# --- Login/Register Page ---
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def show_login_page():
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st.title("🔐 లాగిన్ (Login)")
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username = st.text_input("వినియోగదారు పేరు (Username)")
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password = st.text_input("పాస్వర్డ్ (Password)", type="password")
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if st.button("లాగిన్ చేయండి (Login)"):
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user = login_user(username, password)
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if user:
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st.session_state.logged_in = True
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st.session_state.username = username
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st.session_state.user_email = user.get("email", "")
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st.session_state.user_location = user.get("location", "")
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st.rerun()
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else:
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st.error("చెల్లని లాగిన్ వివరాలు.")
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with st.expander("👉 ఖాతా రిజిస్టర్ (Register)"):
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new_username = st.text_input("కొత్త వినియోగదారు పేరు", key="register_username")
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new_email = st.text_input("ఇమెయిల్", key="register_email")
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new_password = st.text_input("పాస్వర్డ్", type="password", key="register_password")
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new_location = st.text_input("స్థానం (ఐచ్ఛికం)", key="register_location")
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if st.button("రిజిస్టర్ (Register)"):
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success, msg = register_user(new_username, new_email, new_password, new_location)
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st.success(msg) if success else st.error(msg)
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# --- Stop Here if Not Logged In ---
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if not st.session_state.logged_in:
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st.stop()
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# ---
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st.session_state.logged_in = False
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st.session_state.
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st.rerun()
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st.
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for url in
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st.subheader(
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feed = feedparser.parse(url)
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for entry in feed.entries[:3]:
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st.markdown(f"###
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st.write(entry.published)
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st.
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st.markdown("---")
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# ---
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else:
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st.info("దయచేసి ప్రొఫైల్లో మీ స్థానం జోడించండి.")
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# --- 3. City Search Tab ---
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with main_tabs[2]:
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st.header("🔍 నగర శోధన")
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city = st.text_input("Search your city/town name:")
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if city:
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st.
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import streamlit as st
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import feedparser
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import requests
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import json
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import os
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from bs4 import BeautifulSoup
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from transformers import MarianMTModel, MarianTokenizer
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import whisper
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from streamlit_audio_recorder import st_audiorec
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st.set_page_config(page_title="📍 BharatPulse - Local News & Sentiment", layout="wide")
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# ------------------------------
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# User Auth Functions
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# ------------------------------
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USERS_FILE = "users.json"
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def load_users():
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if not os.path.exists(USERS_FILE):
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return {}
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with open(USERS_FILE, "r") as f:
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return json.load(f)
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def save_users(users):
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with open(USERS_FILE, "w") as f:
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json.dump(users, f, indent=2)
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def register_user(username, email, password, location):
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users = load_users()
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if email in users:
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return False, "User already exists."
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users[email] = {
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"username": username,
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"email": email,
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"password": password,
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"location": location
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}
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save_users(users)
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return True, "Registration successful."
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def login_user(email, password):
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users = load_users()
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user = users.get(email)
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if user and user["password"] == password:
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return True, user
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return False, "Invalid credentials."
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# ------------------------------
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# Whisper Model
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# ------------------------------
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@st.cache_resource
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def load_whisper_model():
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return whisper.load_model("base")
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def transcribe_audio(audio_bytes):
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path = "/tmp/voice.wav"
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with open(path, "wb") as f:
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f.write(audio_bytes)
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model = load_whisper_model()
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result = model.transcribe(path, language="te")
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return result["text"]
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# ------------------------------
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# Translation Model
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# ------------------------------
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@st.cache_resource
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def load_translation_model():
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model_name = "Helsinki-NLP/opus-mt-en-te"
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tokenizer = MarianTokenizer.from_pretrained(model_name)
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model = MarianMTModel.from_pretrained(model_name)
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return tokenizer, model
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def translate_to_telugu(text):
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tokenizer, model = load_translation_model()
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tokens = tokenizer.prepare_seq2seq_batch([text], return_tensors="pt", truncation=True, max_length=512)
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translated = model.generate(**tokens)
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return tokenizer.decode(translated[0], skip_special_tokens=True)
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# ------------------------------
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# Extract Article Summary
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# ------------------------------
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def extract_article_content(url):
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try:
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response = requests.get(url, timeout=5)
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soup = BeautifulSoup(response.text, "html.parser")
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paragraphs = soup.find_all('p')
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content = ' '.join([p.get_text() for p in paragraphs[:5]])
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return content
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except Exception as e:
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return str(e)
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# ------------------------------
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# Auth UI
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# ------------------------------
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if "logged_in" not in st.session_state:
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st.session_state.logged_in = False
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if not st.session_state.logged_in:
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st.title("🔐 Login to BharatPulse")
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tab1, tab2 = st.tabs(["🔑 Login", "📝 Register"])
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with tab1:
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email = st.text_input("Email")
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password = st.text_input("Password", type="password")
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if st.button("Login"):
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success, user_or_msg = login_user(email, password)
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if success:
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st.session_state.logged_in = True
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st.session_state.user = user_or_msg
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st.rerun()
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else:
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st.error(user_or_msg)
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with tab2:
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new_username = st.text_input("Username")
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new_email = st.text_input("New Email")
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new_password = st.text_input("New Password", type="password")
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new_location = st.text_input("Location")
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if st.button("Register"):
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success, message = register_user(new_username, new_email, new_password, new_location)
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if success:
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st.success(message)
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else:
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st.error(message)
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st.stop()
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# ------------------------------
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# Main News UI
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# ------------------------------
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st.sidebar.success(f"Logged in as: {st.session_state.user['username']}")
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if st.sidebar.button("🚪 Logout"):
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st.session_state.logged_in = False
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st.session_state.user = None
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st.rerun()
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st.title("📍 BharatPulse")
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tabs = st.tabs(["📰 Headlines", "🔍 Search by City", "🎤 Voice Search"])
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feeds = {
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"Sakshi - Medak": "https://www.sakshi.com/rss/district-news/medak.xml",
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"Eenadu - AP": "https://www.eenadu.net/rss/andhra-pradesh.xml"
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}
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# ------------------------------
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# 📰 Headlines Tab
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# ------------------------------
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with tabs[0]:
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st.header("📰 Local Telugu News")
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for name, url in feeds.items():
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st.subheader(name)
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feed = feedparser.parse(url)
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for entry in feed.entries[:3]:
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st.markdown(f"### {entry.title}")
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st.write(entry.published)
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st.markdown(f"[Read Full Article]({entry.link})")
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summary = extract_article_content(entry.link)
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st.markdown("**English Summary:** " + summary)
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telugu_summary = translate_to_telugu(summary)
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st.markdown("**తెలుగు అనువాదం:** " + telugu_summary)
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st.markdown("---")
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# ------------------------------
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# 🔍 Search by City
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# ------------------------------
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with tabs[1]:
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st.header("🔎 Search by City / District")
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city = st.text_input("Enter your city/district name in Telugu or English")
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if city:
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st.success(f"Showing news for: {city}")
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for name, url in feeds.items():
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if city.lower() in name.lower():
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st.subheader(name)
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feed = feedparser.parse(url)
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for entry in feed.entries[:2]:
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st.markdown(f"**🗞️ {entry.title}**")
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summary = extract_article_content(entry.link)
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telugu_summary = translate_to_telugu(summary)
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st.markdown("**తెలుగు అనువాదం:** " + telugu_summary)
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# ------------------------------
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# 🎤 Voice Search Tab
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# ------------------------------
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with tabs[2]:
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st.header("🎤 Search by Telugu Voice")
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audio = st_audiorec()
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if audio:
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transcribed = transcribe_audio(audio)
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st.success(f"Voice Input Recognized: {transcribed}")
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city = transcribed
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for name, url in feeds.items():
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if city.lower() in name.lower():
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st.subheader(name)
|
| 196 |
+
feed = feedparser.parse(url)
|
| 197 |
+
for entry in feed.entries[:2]:
|
| 198 |
+
st.markdown(f"**🗞️ {entry.title}**")
|
| 199 |
+
summary = extract_article_content(entry.link)
|
| 200 |
+
telugu_summary = translate_to_telugu(summary)
|
| 201 |
+
st.markdown("**తెలుగు అనువాదం:** " + telugu_summary)
|