Update app.py

app.py

@@ -1,45 +1,42 @@
+# streamlit_app.py
 import streamlit as st
-import requests
+import scraper
 
-# Define the CITIES dictionary
-CITIES = {
-    "Islamabad": "IESCO",
-    "Faisalabad": "FESCO",
-    "Hyderabad": "HESCO",
-    "Karachi": "KE",
-    "Lahore": "LESCO",
-    "Peshawar": "PESCO",
-    "Quetta": "QESCO"
-}
-
-# Add a select box for the user to choose the nearest city
-city = st.selectbox("Select the Nearest City", options=list(CITIES.keys()))
-
-# Display the selected city and corresponding company
-st.write(f"You selected: {city}, served by: {CITIES[city]}")
-
-# Define the URLs for each company
-url_dict = {
+tariff_urls = {
     "IESCO": "https://iesco.com.pk/index.php/customer-services/tariff-guide",
     "FESCO": "https://fesco.com.pk/tariff",
     "HESCO": "http://www.hesco.gov.pk/htmls/tariffs.htm",
     "KE": "https://www.ke.com.pk/customer-services/tariff-structure/",
     "LESCO": "https://www.lesco.gov.pk/ElectricityTariffs",
     "PESCO": "https://pesconlinebill.pk/pesco-tariff/",
-    "QESCO": "http://qesco.com.pk/Tariffs.aspx"
+    "QESCO": "http://qesco.com.pk/Tariffs.aspx",
+    "TESCO": "https://tesco.gov.pk/index.php/electricity-traiff"
 }
 
-# Use the selected company to fetch data
-selected_url = url_dict[CITIES[city]]
-st.write(f"Fetching data from: {selected_url}")
+def main():
+    st.title("PowerCalc: AI-Driven Bill & Carbon Footprint Tracker")
+    
+    company = st.selectbox("Select your electricity company", list(tariff_urls.keys()))
+    appliance_name = st.text_input("Appliance Name")
+    load = st.number_input("Load of Appliance (kW)", min_value=0.0)
+    daily_usage = st.number_input("Daily Usage Time (hours)", min_value=0.0)
+    
+    if st.button("Calculate"):
+        url = tariff_urls.get(company)
+        tariff_data = scraper.fetch_tariff_data(url)
+        monthly_bill = calculate_monthly_bill(tariff_data, load, daily_usage)
+        carbon_footprint = calculate_carbon_footprint(load, daily_usage)
+        
+        st.write(f"Monthly Bill: {monthly_bill}")
+        st.write(f"Carbon Footprint: {carbon_footprint}")
+
+def calculate_monthly_bill(tariff_data, load, daily_usage):
+    # Implement the bill calculation logic
+    pass
 
-# Fetch and display the tariff data
-try:
-    response = requests.get(selected_url)
-    response.raise_for_status()
-    st.write("Data fetched successfully!")
-    st.write(response.text)
-except requests.RequestException as e:
-    st.error(f"An error occurred while fetching data: {e}")
+def calculate_carbon_footprint(load, daily_usage):
+    # Implement the carbon footprint calculation logic
+    pass
 
-# Add any additional logic here for processing and displaying the tariff data
+if __name__ == "__main__":
+    main()