Update app.py

app.py

@@ -3,10 +3,6 @@ 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")
@@ -118,25 +114,7 @@ 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.")