Update Meatball

.streamlit/config.toml

@@ -0,0 +1,4 @@
+[theme]
+base="light"
+primaryColor="#1f8ad2"
+secondaryBackgroundColor="#b9cdf7"

app.py

@@ -13,10 +13,34 @@ default_param_ranges = {
     'baking_powder': (0.25, 0.75)
 }
 
+# Explanations for each parameter
+param_explanations = {
+    'beef': 'Amount of beef in grams.',
+    'cornflour': 'Amount of cornflour in grams.',
+    'garlic': 'Number of garlic cloves.',
+    'cilantro': 'Amount of cilantro in grams.',
+    'salt': 'Amount of salt in teaspoons.',
+    'pepper': 'Amount of pepper in teaspoons.',
+    'baking_powder': 'Amount of baking powder in teaspoons.'
+}
+
 def generate_recipe(param_ranges):
     return {k: random.uniform(v[0], v[1]) for k, v in param_ranges.items()}
 
 def simulate_mixing(recipe, mix_factor):
+    beef = recipe['beef']
+    cornflour = recipe['cornflour']
+    # Simulate mixing by dividing beef by cornflour and adding mix factor
+    
+    # If cornflour is 0, return 0
+    if cornflour == 0:
+        return 0
+    mix_factor = (beef / cornflour) + mix_factor
+
+    # If mix factor is greater than 1, return 1
+    if mix_factor > 1:
+        return 1
+
     return mix_factor
 
 def evaluate_squishiness(recipe):
@@ -79,12 +103,14 @@ def mutate(recipe, mutation_rate, param_ranges):
     return recipe
 
 # Streamlit app
-st.title('Meatball Recipe Simulator')
+st.title('🧆 Meatball Recipe Simulator')
 
 # Custom parameter ranges
 st.sidebar.header('Custom Parameter Ranges')
 param_ranges = {}
 for param, (low, high) in default_param_ranges.items():
+    st.sidebar.markdown(f'**{param.capitalize()}**')
+    st.sidebar.write(param_explanations[param])
     low_val = st.sidebar.number_input(f'{param.capitalize()} Min', value=low, key=f'{param}_min')
     high_val = st.sidebar.number_input(f'{param.capitalize()} Max', value=high, key=f'{param}_max')
     param_ranges[param] = (low_val, high_val)
@@ -104,16 +130,16 @@ taste_weights = {
     'garlic': st.sidebar.slider('Weight for Garlic', 0.0, 1.0, 0.3),
     'cilantro': st.sidebar.slider('Weight for Cilantro', 0.0, 1.0, 0.2)
 }
-mix_factor = st.sidebar.slider('Mix Factor', 0.0, 1.0, 0.1)
 
-st.sidebar.header('Genetic Algorithm')
 # Other parameters
 pop_size = st.sidebar.slider('Population Size', 50, 200, 100)
 generations = st.sidebar.slider('Generations', 10, 100, 50)
 mutation_rate = st.sidebar.slider('Mutation Rate', 0.01, 0.2, 0.1)
+mix_factor = st.sidebar.slider('Mix Factor', 0.0, 1.0, 0.1)
 
 if st.button('Run Simulation'):
-    best_recipe = genetic_algorithm(param_ranges, weights, pop_size, generations, mutation_rate, mix_factor, taste_weights)
+    with st.spinner('Running genetic algorithm...'):
+        best_recipe = genetic_algorithm(param_ranges, weights, pop_size, generations, mutation_rate, mix_factor, taste_weights)
     st.subheader('Best Recipe')
     for ingredient, amount in best_recipe.items():
         st.write(f'{ingredient.capitalize()}: {amount:.2f}')