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Update app.py
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app.py
CHANGED
@@ -3,7 +3,10 @@ import requests
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import streamlit as st
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import pandas as pd
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from scraper import scrape_tariffs
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from groq import Groq
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# Streamlit App: Electricity Bill & Carbon Footprint Estimator
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st.title("π Electricity Bill & Carbon Footprint Estimator")
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@@ -35,9 +38,6 @@ appliances = {
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"Water Heater (2000W)": 2000,
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}
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# Groq client setup for advice generation
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client = Groq(api_key=os.environ.get('GroqApi'))
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def scrape_data():
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"""
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Scrapes tariff data from the provided URLs.
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@@ -118,18 +118,24 @@ if st.session_state["appliance_list"] and rate_per_kwh > 0:
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st.write(f"π΅ **Estimated Electricity Bill**: **{bill_amount:.2f} PKR**")
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st.write(f"π **Estimated Carbon Footprint**: **{carbon_footprint:.2f} kg CO2 per month**")
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#
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chat_completion = client.chat.completions.create(
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messages=[{
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"role": "user",
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"content":
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}],
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model="llama3-8b-8192",
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)
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advice = chat_completion.choices[0].message.content
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st.subheader("π‘ Tips to Reduce Carbon Footprint")
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st.write(advice)
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else:
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st.info("βΉοΈ Add appliances to calculate the electricity bill and carbon footprint.")
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import streamlit as st
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import pandas as pd
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from scraper import scrape_tariffs
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from groq import Groq
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# Initialize Groq client
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client = Groq(api_key=os.environ.get('GroqApi'))
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# Streamlit App: Electricity Bill & Carbon Footprint Estimator
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st.title("π Electricity Bill & Carbon Footprint Estimator")
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"Water Heater (2000W)": 2000,
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}
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def scrape_data():
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"""
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Scrapes tariff data from the provided URLs.
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st.write(f"π΅ **Estimated Electricity Bill**: **{bill_amount:.2f} PKR**")
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st.write(f"π **Estimated Carbon Footprint**: **{carbon_footprint:.2f} kg CO2 per month**")
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# Generate Groq-based advice to reduce carbon footprint
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appliance_names = [appliance["appliance"] for appliance in st.session_state["appliance_list"]]
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appliance_list_str = ", ".join(appliance_names)
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chat_completion = client.chat.completions.create(
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messages=[{
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"role": "user",
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"content": (
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f"Provide exactly 3 to 4 short, one-line tips to reduce the carbon footprint caused "
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f"by the usage of the following appliances: {appliance_list_str}. The tips should be "
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f"practical and relevant to these appliances only."
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)
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}],
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model="llama3-8b-8192",
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)
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advice = chat_completion.choices[0].message.content
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st.subheader("π‘ Tips to Reduce Carbon Footprint")
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st.write(advice)
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else:
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st.info("βΉοΈ Add appliances and ensure a valid tariff rate is selected to calculate the electricity bill and carbon footprint.")
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