Create app.py

app.py

@@ -0,0 +1,63 @@
+import streamlit as st
+import pandas as pd
+
+def calculate_metrics(data):
+    data["CRF"] = round((data["Condensate Return Quantity"] / data["Steam Consumption Quantity"]) * 100, 2)
+    data["SSC"] = round(data["Steam Consumption Quantity"] / data["Production Quantity"], 2)
+    data["SWC"] = round(data["Steam Consumption Quantity"] / data["Production Quantity"], 2)
+    return data
+
+def calculate_feed_water_temp(cond_temp, cond_qty, tank_size):
+    ambient_temp = 30
+    make_up = tank_size - cond_qty
+    feed_water_temp = round(((cond_qty * cond_temp) + (make_up * ambient_temp)) / tank_size, 2)
+    return feed_water_temp
+
+def main():
+    st.title("Industrial Utility Dashboard")
+    
+    if "report_data" not in st.session_state:
+        st.session_state.report_data = None
+    
+    num_sections = st.number_input("Enter number of sections:", min_value=1, step=1)
+    
+    section_data = []
+    for i in range(1, num_sections + 1):
+        st.subheader(f"Section {i}")
+        steam_consumption = round(st.number_input(f"Steam Consumption Quantity (Section {i})", min_value=0.0, step=0.1), 2)
+        condensate_return = round(st.number_input(f"Condensate Return Quantity (Section {i})", min_value=0.0, step=0.1), 2)
+        production_quantity = round(st.number_input(f"Production Quantity (Section {i})", min_value=0.0, step=0.1), 2)
+        water_consumption = round(st.number_input(f"Water Consumption Quantity (Section {i})", min_value=0.0, step=0.1), 2)
+        
+        section_data.append([f"Section {i}", production_quantity, water_consumption, condensate_return, steam_consumption])
+    
+    if st.button("Generate Report"):
+        columns = ["Section", "Production Quantity", "Water Consumption Quantity", "Condensate Return Quantity", "Steam Consumption Quantity"]
+        df = pd.DataFrame(section_data, columns=columns)
+        df = calculate_metrics(df)
+        
+        total_row = df.sum(numeric_only=True).round(2)
+        total_row["Section"] = "Total"
+        total_df = pd.DataFrame([total_row])
+        
+        total_df["CRF"] = round((total_df["Condensate Return Quantity"] / total_df["Steam Consumption Quantity"]) * 100, 2)
+        total_df["SSC"] = round(total_df["Steam Consumption Quantity"] / total_df["Production Quantity"], 2)
+        total_df["SWC"] = round(total_df["Steam Consumption Quantity"] / total_df["Production Quantity"], 2)
+        
+        df = pd.concat([df, total_df], ignore_index=True)
+        st.session_state.report_data = df
+    
+    if st.session_state.report_data is not None:
+        st.dataframe(st.session_state.report_data)
+    
+    st.subheader("Calculate Feed Water Temperature")
+    cond_temp = st.number_input("Enter Condensate Returning Temperature:", min_value=0.0, step=0.1)
+    cond_qty = st.number_input("Enter Condensate Returning Quantity:", min_value=0.0, step=0.1)
+    tank_size = st.number_input("Enter Feed Water Tank Size:", min_value=0.0, step=0.1)
+    
+    if st.button("Calculate Feed Water Temperature"):
+        result = calculate_feed_water_temp(cond_temp, cond_qty, tank_size)
+        st.success(f"Feed Water Temperature: {result:.2f} °C")
+
+if __name__ == "__main__":
+    main()