Create app.py

app.py

@@ -0,0 +1,76 @@
+import streamlit as st
+import pandas as pd
+import requests
+
+
+def get_enthalpy(pressure):
+    api_url = f"https://steam-properties.onrender.com/get_properties"
+    params = {"pressure":pressure}
+    response = requests.get(api_url,params)
+
+    if response.status_code == 200:
+        data = response.json()
+    else:
+        data = 500
+    return data
+    
+
+
+
+def main():
+    st.title("Dyeing Machine Temperature Overshoot Calculator")
+    
+    # Step 1: User Inputs
+    num_machines = st.number_input("Enter the number of machines:", min_value=1, step=1)
+    machine_type = st.selectbox("Select Dyeing Machine Type:", ["SoftFlow", "Yarn Dyeing", "Jet Dyeing"])  # Modify as needed
+    
+    # Step 2: Creating input table dynamically
+    machines_data = []
+    if machine_type == "SoftFlow":
+       enthalpy = get_enthalpy(6)['Saturation_Vapour(KCal/kg)']
+       mlr = 6
+    if machine_type == "Yarn Dyeing":
+        enthalpy = get_enthalpy(7)['Saturation_Vapour(KCal/kg)']
+        mlr = 4
+    if machine_type == "Jet Dyeing":
+        enthalpy = get_enthalpy(5)['Saturation_Vapour(KCal/kg)']
+        mlr = 10
+    for i in range(1, num_machines + 1):
+        st.subheader(f"Machine {i}")
+        machine_name = f"{machine_type}_Machine_{i}"
+        quantity = st.number_input(f"{machine_name} - Quantity (kg)", min_value=0.0, step=0.1, key=f"qty_{i}")
+        set_temp = st.number_input(f"{machine_name} - Set Temperature (°C)", min_value=0.0, step=0.1, key=f"set_temp_{i}")
+        actual_temp = st.number_input(f"{machine_name} - Actual Temperature (°C)", min_value=0.0, step=0.1, key=f"act_temp_{i}")
+        
+        overshoot = actual_temp - set_temp
+        water_steam_consumption = mlr*quantity*1*overshoot
+        cloth_steam_consumption = quantity*1*overshoot
+        steam_consumption = (water_steam_consumption + cloth_steam_consumption)// enthalpy
+        
+        machines_data.append({
+            "Machine Name": machine_name,
+            "Selected Machine Quantity (kg)": quantity,
+            "Set Temperature (°C)": set_temp,
+            "Actual Temperature (°C)": actual_temp,
+            "Overshoot (°C)": overshoot
+        })
+    
+    # Step 3: Display Data & Calculate Range
+    if machines_data:
+        df = pd.DataFrame(machines_data)
+        st.write("### Machines Data")
+        st.dataframe(df)
+        
+        overshoot_values = df["Overshoot (°C)"].tolist()
+        min_overshoot = min(overshoot_values) if overshoot_values else 0
+        max_overshoot = max(overshoot_values) if overshoot_values else 0
+        
+        # Step 4: Editable Text Output
+        default_text = f"Currently there is temperature overshoot observed (from {min_overshoot}°C to {max_overshoot}°C) in heating, holding cycle in {machine_type} machine. Due to overshoot there is unnecessary heating. This leads to an increase in steam consumption. Estimated Steam Saving is {steam_consumption} Kg/day."
+        user_text = st.text_area("Editable Report:", value=default_text, height=150)
+        
+        st.write("### Final Report")
+        st.write(f"{user_text}")
+
+if __name__ == "__main__":
+    main()