Create app.py

app.py

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