Create app.py

app.py

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+import random
+import pandas as pd
+import streamlit as st
+
+# Function to filter dishes by season
+def filter_dishes_by_season(df, season='All Seasons'):
+    """Filters the dataset based on the season."""
+    filtered_df = df[df['Season'].isin([season, 'All Seasons'])]
+    return filtered_df
+
+# Function to generate weekly menu based on constraints
+def generate_weekly_menu(df, season='All Seasons', budget=6000):
+    """Generates a weekly menu based on user preferences."""
+    available_dishes = filter_dishes_by_season(df, season)
+
+    # Constraints for the weekly menu
+    required_categories = {
+        'meat': 1,
+        'chicken': 2,
+        'fish': 1,
+        'daal': 4,
+        'sabzi': 4,
+        'outing': 1,
+        'dessert': 2,
+        'snack': 2
+    }
+
+    weekly_menu = []
+    total_cost = 0
+
+    # Generate the menu by selecting dishes that meet the constraints
+    for category, count in required_categories.items():
+        if category == 'outing':
+            category_dishes = available_dishes[available_dishes['Home Made / Outing'].str.contains('Outing', case=False)]
+        else:
+            category_dishes = available_dishes[available_dishes['Sub-Category'].str.contains(category, case=False)]
+
+        if len(category_dishes) > 0:
+            selected_dishes = random.sample(list(category_dishes.iterrows()), min(count, len(category_dishes)))
+            for dish in selected_dishes:
+                dish_info = dish[1]
+                weekly_menu.append(dish_info['Name'])
+                total_cost += dish_info['Cost per 4 persons']
+
+    if total_cost > budget:
+        weekly_menu = []
+        total_cost = 0
+        for category, count in required_categories.items():
+            category_dishes = available_dishes[available_dishes['Sub-Category'].str.contains(category, case=False)]
+            category_dishes_sorted = category_dishes.sort_values(by='Cost per 4 persons')
+            selected_dishes = random.sample(list(category_dishes_sorted.iterrows()), min(count, len(category_dishes_sorted)))
+            for dish in selected_dishes:
+                dish_info = dish[1]
+                weekly_menu.append(dish_info['Name'])
+                total_cost += dish_info['Cost per 4 persons']
+            if total_cost > budget:
+                break
+
+    return weekly_menu, total_cost
+
+# Streamlit UI
+def main():
+    # Title of the app
+    st.title("Weekly Menu Generator")
+
+    # File upload for the Excel data
+    uploaded_file = st.file_uploader("Upload your Excel file", type=["xlsx"])
+    if uploaded_file is not None:
+        # Load the Excel file
+        df = pd.read_excel(uploaded_file, engine='openpyxl')
+
+        # User inputs for season and budget
+        season = st.selectbox("Select Season", ["All Seasons", "Summer", "Winter"])
+        budget = st.slider("Select Budget (PKR)", min_value=1000, max_value=10000, value=6000)
+
+        # Button to generate the menu
+        if st.button("Generate Weekly Menu"):
+            menu, total_cost = generate_weekly_menu(df, season, budget)
+            
+            # Display the results
+            if menu:
+                st.write("### Weekly Menu:")
+                for dish in menu:
+                    st.write(f"- {dish}")
+                st.write(f"**Total Cost: {total_cost} PKR**")
+            else:
+                st.write("Not enough dishes found for the selected criteria.")
+
+if __name__ == "__main__":
+    main()