Create app.py

app.py

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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()