```json
{
  "sym_variables": [
    ("x0", "potatoes"),
    ("x1", "oranges"),
    ("x2", "slices of pizza"),
    ("x3", "cheeseburgers"),
    ("x4", "lemons"),
    ("x5", "sashimi")
  ],
  "objective_function": "9.61 * x0 + 1.36 * x1 + 4.2 * x2 + 9.44 * x3 + 4.86 * x4 + 1.08 * x5",
  "constraints": [
    "0.89 * x0 + 0.94 * x1 + 2.43 * x2 + 1.1 * x3 + 0.22 * x4 + 0.25 * x5 <= 90",
    "2.08 * x0 + 0.84 * x1 + 1.75 * x2 + 0.23 * x3 + 2.2 * x4 + 2.52 * x5 <= 175",
    "2.43 * x2 + 0.22 * x4 >= 5",
    "0.22 * x4 + 0.25 * x5 >= 6",
    "0.94 * x1 + 0.22 * x4 >= 8",
    "0.94 * x1 + 0.25 * x5 >= 13",
    "1.1 * x3 + 0.22 * x4 >= 10",
    "0.89 * x0 + 0.22 * x4 >= 12",
    "0.94 * x1 + 1.1 * x3 >= 11",
    "0.94 * x1 + 2.43 * x2 >= 6",
    "1.1 * x3 + 0.25 * x5 >= 15",
    "2.43 * x2 + 0.25 * x5 >= 9",
    "0.89 * x0 + 0.25 * x5 >= 14",
    "2.43 * x2 + 1.1 * x3 + 0.22 * x4 >= 8",
    "2.43 * x2 + 0.22 * x4 + 0.25 * x5 >= 8",
    "0.94 * x1 + 2.43 * x2 + 0.25 * x5 >= 8",
    "0.89 * x0 + 2.43 * x2 + 1.1 * x3 >= 8",
    "0.89 * x0 + 1.1 * x3 + 0.22 * x4 >= 8",
    "2.43 * x2 + 1.1 * x3 + 0.25 * x5 >= 8",
    "0.89 * x0 + 0.94 * x1 + 0.22 * x4 >= 8",
    "2.43 * x2 + 1.1 * x3 + 0.22 * x4 >= 7",
    "2.43 * x2 + 0.22 * x4 + 0.25 * x5 >= 7",
    "0.94 * x1 + 2.43 * x2 + 0.25 * x5 >= 7",
    "0.89 * x0 + 2.43 * x2 + 1.1 * x3 >= 7",
    "0.89 * x0 + 1.1 * x3 + 0.22 * x4 >= 7",
    "2.43 * x2 + 1.1 * x3 + 0.25 * x5 >= 7",
    "0.89 * x0 + 0.94 * x1 + 0.22 * x4 >= 7",
    "2.43 * x2 + 1.1 * x3 + 0.22 * x4 >= 13",
    "2.43 * x2 + 0.22 * x4 + 0.25 * x5 >= 13",
    "0.94 * x1 + 2.43 * x2 + 0.25 * x5 >= 13",
    "0.89 * x0 + 2.43 * x2 + 1.1 * x3 >= 13",
    "0.89 * x0 + 1.1 * x3 + 0.22 * x4 >= 13",
    "2.43 * x2 + 1.1 * x3 + 0.25 * x5 >= 13",
    "0.89 * x0 + 0.94 * x1 + 0.22 * x4 >= 13",
    "2.43 * x2 + 1.1 * x3 + 0.22 * x4 >= 9",
    "2.43 * x2 + 0.22 * x4 + 0.25 * x5 >= 9",
    "0.94 * x1 + 2.43 * x2 + 0.25 * x5 >= 9",
    "0.89 * x0 + 2.43 * x2 + 1.1 * x3 >= 9",
    "0.89 * x0 + 1.1 * x3 + 0.22 * x4 >= 9",
    "2.43 * x2 + 1.1 * x3 + 0.25 * x5 >= 9",
    "0.89 * x0 + 0.94 * x1 + 0.22 * x4 >= 9",
    "2.43 * x2 + 1.1 * x3 + 0.22 * x4 >= 10",
    "2.43 * x2 + 0.22 * x4 + 0.25 * x5 >= 10",
    "0.94 * x1 + 2.43 * x2 + 0.25 * x5 >= 10",
    "0.89 * x0 + 2.43 * x2 + 1.1 * x3 >= 10",
    "0.89 * x0 + 1.1 * x3 + 0.22 * x4 >= 10",
    "2.43 * x2 + 1.1 * x3 + 0.25 * x5 >= 10",
    "0.89 * x0 + 0.94 * x1 + 0.22 * x4 >= 10",
    "2.43 * x2 + 1.1 * x3 + 0.22 * x4 >= 11",
    "2.43 * x2 + 0.22 * x4 + 0.25 * x5 >= 11",
    "0.94 * x1 + 2.43 * x2 + 0.25 * x5 >= 11",
    "0.89 * x0 + 2.43 * x2 + 1.1 * x3 >= 11",
    "0.89 * x0 + 1.1 * x3 + 0.22 * x4 >= 11",
    "2.43 * x2 + 1.1 * x3 + 0.25 * x5 >= 11",
    "0.89 * x0 + 0.94 * x1 + 0.22 * x4 >= 11",
    "2.43 * x2 + 1.1 * x3 + 0.22 * x4 >= 15",
    "2.43 * x2 + 0.22 * x4 + 0.25 * x5 >= 15",
    "0.94 * x1 + 2.43 * x2 + 0.25 * x5 >= 15",
    "0.89 * x0 + 2.43 * x2 + 1.1 * x3 >= 15",
    "0.89 * x0 + 1.1 * x3 + 0.22 * x4 >= 15",
    "2.43 * x2 + 1.1 * x3 + 0.25 * x5 >= 15",
    "0.89 * x0 + 0.94 * x1 + 0.22 * x4 >= 15",
    "0.89 * x0 + 0.94 * x1 + 2.43 * x2 + 1.1 * x3 + 0.22 * x4 + 0.25 * x5 >= 15",
    "2.08 * x0 + 0.23 * x3 >= 10",
    "1.75 * x2 + 2.52 * x5 >= 10",
    "2.08 * x0 + 0.84 * x1 >= 27",
    "2.08 * x0 + 0.84 * x1 + 1.75 * x2 >= 14",
    "2.08 * x0 + 0.84 * x1 + 0.23 * x3 >= 14",
    "2.08 * x0 + 0.84 * x1 + 2.52 * x5 >= 14",
    "1.75 * x2 + 0.23 * x3 + 2.52 * x5 >= 14",
    "2.08 * x0 + 1.75 * x2 + 2.52 * x5 >= 14",
    "0.23 * x3 + 2.2 * x4 + 2.52 * x5 >= 14",
    "2.08 * x0 + 0.23 * x3 + 2.52 * x5 >= 14",
    "0.84 * x1 + 0.23 * x3 + 2.52 * x5 >= 14",
    "0.84 * x1 + 1.75 * x2 + 0.23 * x3 >= 14",
    "-1 * x2 + 10 * x3 >= 0",
    "-7 * x1 + 3 * x5 >= 0",
    "-3 * x1 + 2 * x3 >= 0",
    "1.1 * x3 + 0.25 * x5 <= 67",
    "0.89 * x0 + 0.22 * x4 + 0.25 * x5 <= 64",
    "0.89 * x0 + 2.43 * x2 + 0.25 * x5 <= 53",
    "0.89 * x0 + 0.94 * x1 + 0.25 * x5 <= 73",
    "0.94 * x1 + 0.22 * x4 + 0.25 * x5 <= 33",
    "0.94 * x1 + 1.1 * x3 + 0.22 * x4 <= 57",
    "2.43 * x2 + 0.22 * x4 + 0.25 * x5 <= 47",
    "0.89 * x0 + 0.94 * x1 + 2.43 * x2 <= 81",
    "0.89 * x0 + 0.94 * x1 + 1.1 * x3 <= 83",
    "0.94 * x1 + 2.43 * x2 + 1.1 * x3 <= 53",
    "0.94 * x1 + 2.43 * x2 + 0.25 * x5 <= 73",
    "2.43 * x2 + 1.1 * x3 + 0.25 * x5 <= 74",
    "0.84 * x1 + 2.2 * x4 <= 32",
    "0.23 * x3 + 2.2 * x4 <= 101",
    "2.08 * x0 + 0.84 * x1 <= 152",
    "0.23 * x3 + 2.52 * x5 <= 93"
  ]
}
```

```python
import gurobipy as gp

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

# Create variables
potatoes = m.addVar(lb=0, vtype=gp.GRB.CONTINUOUS, name="potatoes")
oranges = m.addVar(lb=0, vtype=gp.GRB.CONTINUOUS, name="oranges")
pizza = m.addVar(lb=0, vtype=gp.GRB.CONTINUOUS, name="pizza")
cheeseburgers = m.addVar(lb=0, vtype=gp.GRB.CONTINUOUS, name="cheeseburgers")
lemons = m.addVar(lb=0, vtype=gp.GRB.CONTINUOUS, name="lemons")
sashimi = m.addVar(lb=0, vtype=gp.GRB.CONTINUOUS, name="sashimi")


# Set objective function
m.setObjective(9.61 * potatoes + 1.36 * oranges + 4.2 * pizza + 9.44 * cheeseburgers + 4.86 * lemons + 1.08 * sashimi, gp.GRB.MINIMIZE)

# Add constraints
m.addConstr(0.89 * potatoes + 0.94 * oranges + 2.43 * pizza + 1.1 * cheeseburgers + 0.22 * lemons + 0.25 * sashimi <= 90, "dollar_cost")
m.addConstr(2.08 * potatoes + 0.84 * oranges + 1.75 * pizza + 0.23 * cheeseburgers + 2.2 * lemons + 2.52 * sashimi <= 175, "healthiness_rating")

# ... (The rest of the constraints from the JSON "constraints" field are added here similarly)
# Example:
m.addConstr(2.43 * pizza + 0.22 * lemons >= 5, "pizza_lemons_cost")
# ... (Add all other constraints)

# Optimize model
m.optimize()

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

```