Update app.py

app.py

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+import streamlit as st
+# APPLIANCE DISTRIBUTION
+# -----------------------------
+st.subheader("🔌 Appliance-wise Energy Usage")
+appliance_usage = filtered_df.groupby('appliance')['usage_kwh'].sum().reset_index()
+fig = px.pie(appliance_usage, names='appliance', values='usage_kwh', title='Energy Usage Distribution')
+st.plotly_chart(fig, use_container_width=True)
+
+# -----------------------------
+# MACHINE LEARNING PREDICTION
+# -----------------------------
+st.subheader("🔮 Future Energy Usage Prediction")
+
+daily_usage['day_number'] = np.arange(len(daily_usage))
+X = daily_usage[['day_number']]
+y = daily_usage['usage_kwh']
+
+model = LinearRegression()
+model.fit(X, y)
+
+future_day = len(daily_usage)
+prediction = model.predict([[future_day]])[0]
+
+st.success(f"Predicted next day's energy consumption: {prediction:.2f} kWh")
+
+# -----------------------------
+# SUSTAINABILITY SCORE
+# -----------------------------
+if avg_consumption < 4:
+    score = "Excellent 🌱"
+elif avg_consumption < 6:
+    score = "Moderate ⚡"
+else:
+    score = "High Consumption ⚠️"
+
+st.subheader("🌍 Sustainability Score")
+st.info(score)
+
+# -----------------------------
+# CHATBOT SECTION
+# -----------------------------
+st.subheader("🤖 Sustainability Chatbot")
+user_query = st.text_input("Ask about your energy usage:")
+
+def chatbot_response(query):
+    query = query.lower()
+
+    if "reduce" in query or "save" in query:
+        return "Use LED bulbs, reduce AC usage, unplug idle devices, and shift usage to off-peak hours."
+
+    elif "bill" in query or "cost" in query:
+        estimated_bill = total_consumption * 8  # Example ₹8 per kWh
+        return f"Estimated electricity bill: ₹{estimated_bill:.2f}"
+
+    elif "peak" in query:
+        return f"Your highest consumption was on {peak_day['date'].date()} with {peak_day['usage_kwh']:.2f} kWh."
+
+    elif "prediction" in query or "future" in query:
+        return f"Predicted next day usage is {prediction:.2f} kWh."
+
+    else:
+        return "Ask about reducing usage, electricity bill, peak consumption, or future predictions."
+
+if user_query:
+    response = chatbot_response(user_query)
+    st.write("### 💬 Chatbot Response:")
+    st.success(response)
+
+# -----------------------------
+# RAW DATA VIEW
+# -----------------------------
+with st.expander("📄 View Raw Data"):
+    st.dataframe(filtered_df)
+
+# -----------------------------
+# FOOTER
+# -----------------------------
+st.markdown("---")
+st.caption("Built with Streamlit | AI + Sustainability + Data Analytics")