Code Editor for app.py

import streamlit as st
import plotly.express as px
import plotly.graph_objects as go
import datetime

# Initialize session state for posts if not exists
if "posts" not in st.session_state:
    st.session_state.posts = []

st.title("Blog Dashboard")

# Sidebar for adding new posts
with st.sidebar:
    st.header("Add New Post")
    title = st.text_input("Post Title")
    content = st.text_area("Post Content")
    tags = st.text_input("Tags (comma-separated)")
    
    if st.button("Add Post"):
        if title and content:
            post = {
                "title": title,
                "content": content,
                "tags": [tag.strip() for tag in tags.split(",")] if tags else [],
                "date": datetime.datetime.now(),
                "views": 0
            }
            st.session_state.posts.append(post)
            st.success("Post added successfully!")

# Main content area
tab1, tab2, tab3 = st.tabs(["Posts", "Analytics", "Tags"])

with tab1:
    st.header("Blog Posts")
    for idx, post in enumerate(st.session_state.posts):
        with st.expander(f"{post['title']} - {post['date'].strftime('%Y-%m-%d')}"):
            st.write(post['content'])
            st.write(f"Tags: {', '.join(post['tags'])}")
            if st.button("Increment Views", key=f"view_{idx}"):
                st.session_state.posts[idx]['views'] += 1
                st.rerun()

with tab2:
    st.header("Analytics")
    if st.session_state.posts:
        # Views per post
        fig_views = px.bar(
            x=[post['title'] for post in st.session_state.posts],
            y=[post['views'] for post in st.session_state.posts],
            title="Views per Post"
        )
        st.plotly_chart(fig_views, use_container_width=True)
        
        # Tags distribution
        all_tags = []
        for post in st.session_state.posts:
            all_tags.extend(post['tags'])
        
        if all_tags:
            tag_counts = {}
            for tag in all_tags:
                tag_counts[tag] = tag_counts.get(tag, 0) + 1
            
            fig_tags = px.pie(
                values=list(tag_counts.values()),
                names=list(tag_counts.keys()),
                title="Tag Distribution"
            )
            st.plotly_chart(fig_tags, use_container_width=True)
            
        # Posts over time
        dates = [post['date'] for post in st.session_state.posts]
        fig_timeline = px.line(
            x=dates,
            y=range(1, len(dates) + 1),
            title="Cumulative Posts Over Time"
        )
        st.plotly_chart(fig_timeline, use_container_width=True)
    else:
        st.info("No posts yet. Add some posts to see analytics!")

with tab3:
    st.header("Tag Cloud")
    if st.session_state.posts:
        # Get all unique tags
        unique_tags = set()
        for post in st.session_state.posts:
            unique_tags.update(post['tags'])
        
        # Create tag filters
        selected_tag = st.selectbox("Filter by tag", ["All"] + list(unique_tags))
        
        # Filter posts by tag
        if selected_tag != "All":
            filtered_posts = [
                post for post in st.session_state.posts 
                if selected_tag in post['tags']
            ]
        else:
            filtered_posts = st.session_state.posts
        
        # Display filtered posts
        for post in filtered_posts:
            st.subheader(post['title'])
            st.write(post['content'][:200] + "..." if len(post['content']) > 200 else post['content'])
            st.write(f"Tags: {', '.join(post['tags'])}")
            st.write("---")