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| import streamlit as st | |
| import plotly.express as px | |
| import pandas as pd | |
| import numpy as np | |
| from datetime import datetime, timedelta | |
| # Page configuration | |
| st.set_page_config( | |
| page_title="Prospira", | |
| page_icon="📊", | |
| layout="wide", | |
| initial_sidebar_state="expanded" | |
| ) | |
| # Session state initialization | |
| if 'current_page' not in st.session_state: | |
| st.session_state['current_page'] = 'Dashboard' | |
| # Sidebar navigation | |
| def sidebar(): | |
| with st.sidebar: | |
| st.title("Prospira 📊") | |
| st.subheader("Navigation") | |
| pages = { | |
| "Dashboard": "📈", | |
| "Analytics": "📊", | |
| "Brainstorm": "🧠", | |
| "Chat": "💬" | |
| } | |
| for page, emoji in pages.items(): | |
| if st.button(f"{emoji} {page}"): | |
| st.session_state['current_page'] = page | |
| # Generate sample data for demonstration | |
| def generate_sample_data(): | |
| dates = pd.date_range(start='2024-01-01', end='2024-01-31', freq='D') | |
| return pd.DataFrame({ | |
| 'Date': dates, | |
| 'Revenue': np.random.normal(1000, 100, len(dates)), | |
| 'Users': np.random.randint(100, 200, len(dates)), | |
| 'Engagement': np.random.uniform(0.5, 0.9, len(dates)) | |
| }) | |
| # Page components | |
| def show_dashboard(): | |
| st.header("Dashboard") | |
| col1, col2 = st.columns(2) | |
| data = generate_sample_data() | |
| with col1: | |
| st.subheader("Revenue Trend") | |
| fig = px.line(data, x='Date', y='Revenue') | |
| st.plotly_chart(fig, use_container_width=True) | |
| with col2: | |
| st.subheader("User Engagement") | |
| fig = px.scatter(data, x='Date', y='Engagement', size='Users') | |
| st.plotly_chart(fig, use_container_width=True) | |
| def show_analytics(): | |
| st.header("Analytics") | |
| st.info("Select data for analysis:") | |
| uploaded_file = st.file_uploader("Upload your data (CSV)", type=['csv']) | |
| if uploaded_file: | |
| data = pd.read_csv(uploaded_file) | |
| st.write("Data Preview:", data.head()) | |
| if st.button("Generate Analysis"): | |
| st.write("Basic Statistics:", data.describe()) | |
| def show_brainstorm(): | |
| st.header("Brainstorm") | |
| products = ["Product A", "Product B", "Product C"] | |
| selected_product = st.selectbox("Select Product", products) | |
| if selected_product: | |
| st.subheader(f"Analysis for {selected_product}") | |
| st.write("Product performance metrics will appear here") | |
| if st.button("Add New Product"): | |
| st.text_input("Product Name") | |
| st.text_area("Product Description") | |
| st.button("Submit") | |
| def show_chat(): | |
| st.header("Chat Interface") | |
| user_input = st.text_input("Ask me anything about your business:") | |
| if user_input: | |
| st.write("Bot: Thank you for your question! This feature will be implemented with LLAMA integration.") | |
| def main(): | |
| sidebar() | |
| # Page routing | |
| pages = { | |
| "Dashboard": show_dashboard, | |
| "Analytics": show_analytics, | |
| "Brainstorm": show_brainstorm, | |
| "Chat": show_chat | |
| } | |
| current_page = st.session_state['current_page'] | |
| pages[current_page]() | |
| if __name__ == "__main__": | |
| main() |