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Create app.py
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app.py
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import streamlit as st
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from wordcloud import WordCloud
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import requests
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import xml.etree.ElementTree as ET
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from io import BytesIO
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from datetime import datetime, timedelta
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# Set page configuration
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st.set_page_config(page_title="Word Cloud from News Headlines", layout="wide")
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# Custom CSS for unique design and to remove the white bar on top
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st.markdown("""
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<style>
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.stApp {
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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color: white;
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}
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.css-18e3th9 {
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background-color: rgba(255, 255, 255, 0.1);
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padding: 20px;
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border-radius: 10px;
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}
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.css-1d391kg {
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background-color: rgba(255, 255, 255, 0.1);
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padding: 20px;
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border-radius: 10px;
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}
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.st-emotion-cache-18ni7ap {
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display: none;
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}
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.stButton button {
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color: black !important;
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background-color: #667eea;
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border-radius: 10px;
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padding: 10px 20px;
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font-weight: bold;
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}
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.headline-container {
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background-color: rgba(255, 255, 255, 0.1);
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padding: 20px;
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border-radius: 10px;
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margin-top: 20px;
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}
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.st-emotion-cache-7ym5gk {
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color: black !important;
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}
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</style>
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""", unsafe_allow_html=True)
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# Title and description
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st.title("Word Cloud from News Headlines")
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st.markdown("### Generating a word cloud from live news headlines")
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# Sidebar for user inputs
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st.sidebar.title("Customize Your Word Cloud")
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bg_color = st.sidebar.color_picker("Background Color", "#ffffff")
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max_words = st.sidebar.slider("Maximum Number of Words", 10, 200, 100)
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keyword = st.sidebar.text_input("Search Keyword (Optional)")
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date_range = st.sidebar.date_input("Date Range", [datetime.now() - timedelta(days=7), datetime.now()])
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# Function to fetch news headlines from Google News RSS feed
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def fetch_news_headlines(keyword=None, date_range=None):
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url = "https://news.google.com/rss"
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if keyword:
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url += f"/search?q={keyword}"
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response = requests.get(url)
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root = ET.fromstring(response.content)
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headlines = [item.find('title').text for item in root.findall('./channel/item')]
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return headlines
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# Generate word cloud
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headlines = fetch_news_headlines(keyword, date_range)
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if headlines:
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wordcloud_text = ' '.join(headlines)
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wordcloud = WordCloud(width=800, height=400, background_color=bg_color, max_words=max_words).generate(wordcloud_text)
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st.image(wordcloud.to_array(), use_column_width=True)
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# Download option
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img = BytesIO()
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wordcloud.to_image().save(img, format='PNG')
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st.download_button(label="Download Word Cloud", data=img, file_name="wordcloud.png", mime="image/png")
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# Display headlines
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st.markdown("### Fetched Headlines")
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with st.expander("Show Headlines"):
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st.markdown('<div class="headline-container">', unsafe_allow_html=True)
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for headline in headlines:
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st.markdown(f"- {headline}")
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st.markdown('</div>', unsafe_allow_html=True)
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else:
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st.warning("No headlines fetched. Please try again later.")
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# Footer
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st.markdown("""
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<hr>
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<div style="text-align: center;">
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Created by randeom
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</div>
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""", unsafe_allow_html=True)
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