Update app.py

app.py

@@ -3,6 +3,7 @@ import requests
 import streamlit as st
 import pandas as pd
 from scraper import scrape_tariffs
+from groq import Groq  # Import Groq API
 
 # Streamlit App: Electricity Bill & Carbon Footprint Estimator
 st.title("🔌 Electricity Bill & Carbon Footprint Estimator")
@@ -34,6 +35,11 @@ appliances = {
     "Water Heater (2000W)": 2000,
 }
 
+# Groq client setup for advice generation
+client = Groq(
+    api_key=os.environ.get("GROQ_API_KEY"),
+)
+
 def scrape_data():
     """
     Scrapes tariff data from the provided URLs.
@@ -113,5 +119,19 @@ if st.session_state["appliance_list"] and rate_per_kwh > 0:
     st.subheader("💵 Electricity Bill & 🌍 Carbon Footprint")
     st.write(f"💵 **Estimated Electricity Bill**: **{bill_amount:.2f} PKR**")
     st.write(f"🌍 **Estimated Carbon Footprint**: **{carbon_footprint:.2f} kg CO2 per month**")
+
+    # Get advice to reduce carbon footprint using Groq API
+    chat_completion = client.chat.completions.create(
+        messages=[{
+            "role": "user",
+            "content": f"Provide a few tips (3 or 4) on how to reduce the carbon footprint caused by electricity usage of {carbon_footprint:.2f} kg CO2 per month."
+        }],
+        model="llama3-8b-8192",  # Specify the model
+    )
+
+    advice = chat_completion.choices[0].message.content
+    st.subheader("💡 Tips to Reduce Carbon Footprint")
+    st.write(advice)
+
 else:
     st.info("ℹ️ Add appliances to calculate the electricity bill and carbon footprint.")