Update app.py

app.py

@@ -3,6 +3,10 @@ import requests
 import streamlit as st
 import pandas as pd
 from scraper import scrape_tariffs
+from groq import Groq
+
+# Initialize Groq client
+client = Groq(api_key=os.environ.get('GroqApi'))
 
 # Streamlit App: ⚡ EnergyGuru_PowerCalc: AI-Driven Bill & Carbon Footprint Tracker
 st.title("⚡ EnergyGuru_PowerCalc: AI-Driven Bill & Carbon Footprint Tracker")
@@ -114,6 +118,26 @@ if st.session_state["appliance_list"] and rate_per_kwh > 0:
     st.write(f"💵 **Estimated Electricity Bill**: **{bill_amount:.2f} PKR**")
     st.write(f"🌍 **Estimated Carbon Footprint**: **{carbon_footprint:.2f} kg CO2 per month**")
 
+    # Generate Groq-based advice to reduce carbon footprint
+    appliance_names = [appliance["appliance"] for appliance in st.session_state["appliance_list"]]
+    appliance_list_str = ", ".join(appliance_names)
+
+    chat_completion = client.chat.completions.create(
+        messages=[{
+            "role": "user",
+            "content": (
+                f"Provide exactly 3 to 4 short, one-line tips to reduce the carbon footprint caused "
+                f"by the usage of the following appliances: {appliance_list_str}. The tips should be "
+                f"practical and relevant to these appliances only."
+            )
+        }],
+        model="llama3-8b-8192",
+    )
+
+    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.")