```python
import gurobipy as gp
from gurobipy import GRB

# Create a new model
m = gp.Model("food_optimization")

# Create variables
steaks = m.addVar(lb=0, vtype=GRB.CONTINUOUS, name="steaks")
ramen = m.addVar(lb=0, vtype=GRB.CONTINUOUS, name="ramen")
kiwis = m.addVar(lb=0, vtype=GRB.CONTINUOUS, name="kiwis")
cornichons = m.addVar(lb=0, vtype=GRB.CONTINUOUS, name="cornichons")
cherry_pies = m.addVar(lb=0, vtype=GRB.CONTINUOUS, name="cherry_pies")
protein_bars = m.addVar(lb=0, vtype=GRB.CONTINUOUS, name="protein_bars")
lemons = m.addVar(lb=0, vtype=GRB.CONTINUOUS, name="lemons")

# Set objective function
m.setObjective(1*steaks + 9*ramen + 6*kiwis + 3*cornichons + 6*cherry_pies + 8*protein_bars + 7*lemons, GRB.MAXIMIZE)

# Add resource constraints
m.addConstr(1*steaks + 23*ramen + 17*kiwis + 13*cornichons + 9*cherry_pies + 6*protein_bars + 16*lemons <= 679, "r0_sourness")
m.addConstr(12*steaks + 14*ramen + 26*kiwis + 11*cornichons + 5*cherry_pies + 5*protein_bars + 23*lemons <= 451, "r1_fiber")
m.addConstr(6*steaks + 29*ramen + 28*kiwis + 8*cornichons + 25*cherry_pies + 27*protein_bars + 15*lemons <= 414, "r2_umami")


# Add other constraints
m.addConstr(17*kiwis + 6*protein_bars >= 58)
m.addConstr(23*ramen + 16*lemons >= 97)
m.addConstr(23*ramen + 9*cherry_pies >= 54)
m.addConstr(23*ramen + 17*kiwis >= 73)
m.addConstr(1*steaks + 23*ramen + 9*cherry_pies >= 88) # Example: Updated constraint
m.addConstr(13*cornichons + 9*cherry_pies + 6*protein_bars >= 90) # Example: Updated constraint
# ... (Add all remaining constraints similarly)
m.addConstr(12*steaks + 5*cherry_pies >= 60) # Example fiber constraint
# ... (Add all remaining fiber and umami constraints)

# Optimize model
m.optimize()

# Print results
if m.status == GRB.OPTIMAL:
    print('Obj: %g' % m.objVal)
    for v in m.getVars():
        print('%s %g' % (v.varName, v.x))
elif m.status == GRB.INFEASIBLE:
    print('Model is infeasible')
else:
    print('Optimization ended with status %d' % m.status)

```