import streamlit as st
import streamlit.components.v1 as components
from typing import Dict, List
import json
from .tweet_generator import smart_tweet_generator
def load_feature_data() -> Dict:
"""Load feature data from a structured format."""
return {
"tweet_generation": {
"title": "Tweet Generation & Optimization",
"icon": "🐦",
"description": "Create and optimize engaging tweets with AI assistance",
"features": [
{
"name": "Smart Tweet Generator",
"description": "Generate multiple tweet variations with optimal character count, hashtags, and emojis",
"status": "active",
"icon": "✨",
"function": smart_tweet_generator
},
{
"name": "Tweet Performance Predictor",
"description": "Predict engagement rates and best posting times for maximum impact",
"status": "coming_soon",
"icon": "📊"
}
]
},
"content_strategy": {
"title": "Content Strategy Tools",
"icon": "📅",
"description": "Plan and manage your Twitter content strategy effectively",
"features": [
{
"name": "Content Calendar Generator",
"description": "Create weekly/monthly content plans with theme-based scheduling",
"status": "coming_soon",
"icon": "🗓️"
},
{
"name": "Hashtag Strategy Manager",
"description": "Research and manage trending hashtags for better reach",
"status": "coming_soon",
"icon": "#️⃣"
}
]
},
"visual_content": {
"title": "Visual Content Creation",
"icon": "🎨",
"description": "Create engaging visual content for your tweets",
"features": [
{
"name": "Image Generator",
"description": "Create tweet cards, infographics, and quote designs",
"status": "coming_soon",
"icon": "🖼️"
},
{
"name": "Video Content Assistant",
"description": "Generate video scripts and optimize captions",
"status": "coming_soon",
"icon": "🎥"
}
]
},
"engagement": {
"title": "Engagement & Community",
"icon": "🤝",
"description": "Manage and enhance community engagement",
"features": [
{
"name": "Reply Generator",
"description": "Generate context-aware responses with appropriate tone",
"status": "coming_soon",
"icon": "💬"
},
{
"name": "Community Tools",
"description": "Create polls and plan Q&A sessions",
"status": "coming_soon",
"icon": "👥"
}
]
},
"analytics": {
"title": "Analytics & Optimization",
"icon": "📈",
"description": "Track performance and optimize your Twitter strategy",
"features": [
{
"name": "Performance Analytics",
"description": "Track tweet performance and engagement metrics",
"status": "coming_soon",
"icon": "📊"
},
{
"name": "A/B Testing Assistant",
"description": "Test and optimize tweet variations for better results",
"status": "coming_soon",
"icon": "🔍"
}
]
},
"research": {
"title": "Research & Intelligence",
"icon": "🔎",
"description": "Gain insights and stay ahead of trends",
"features": [
{
"name": "Market Research",
"description": "Analyze competitors and track industry trends",
"status": "coming_soon",
"icon": "📊"
},
{
"name": "Content Inspiration",
"description": "Get trending topic suggestions and content ideas",
"status": "coming_soon",
"icon": "💡"
}
]
}
}
def render_feature_card(feature: Dict) -> None:
"""Render a single feature card with its details."""
with st.container():
st.markdown(f"""
{feature['icon']} {feature['name']}
{feature['description']}
{feature['status'].title()}
""", unsafe_allow_html=True)
def render_category_section(category: Dict) -> None:
"""Render a category section with all its features."""
st.markdown(f"### {category['icon']} {category['title']}")
st.markdown(f"*{category['description']}*")
col1, col2 = st.columns(2)
with col1:
render_feature_card(category['features'][0])
with col2:
render_feature_card(category['features'][1])
def run_dashboard():
"""Main function to run the Twitter dashboard."""
# Header
st.title("🐦 Twitter AI Writer Dashboard")
st.markdown("""
Welcome to your all-in-one Twitter content creation and management platform.
Explore our AI-powered tools to enhance your Twitter marketing strategy.
""")
# Load feature data
features = load_feature_data()
# Create tabs for different sections
tab1, tab2, tab3 = st.tabs(["🎯 Quick Actions", "📊 Analytics", "⚙️ Settings"])
with tab1:
st.markdown("### 🚀 Quick Actions")
col1, col2, col3 = st.columns(3)
with col1:
if st.button("📝 Create New Tweet", use_container_width=True):
# Call the Smart Tweet Generator
smart_tweet_generator()
with col2:
st.button("📅 Schedule Content", use_container_width=True)
with col3:
st.button("📊 View Analytics", use_container_width=True)
with tab2:
st.markdown("### 📈 Analytics Dashboard")
st.info("Analytics features coming soon! Stay tuned for detailed insights and performance metrics.")
with tab3:
st.markdown("### ⚙️ Settings")
st.info("Settings and configuration options coming soon!")
# Main content area
st.markdown("## 🛠️ Available Tools")
# Render each category
for category in features.values():
render_category_section(category)
# If this is the tweet generation category and the Smart Tweet Generator is active,
# add a button to launch it
if category["title"] == "Tweet Generation & Optimization" and category["features"][0]["status"] == "active":
if st.button(f"🚀 Launch {category['features'][0]['name']}", use_container_width=True):
category["features"][0]["function"]()
# Footer
st.markdown("---")
st.markdown("""
""", unsafe_allow_html=True)
if __name__ == "__main__":
run_dashboard()