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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() |