To solve Angela's perfume mixing problem, we first need to define the variables and the objective function symbolically, followed by translating these into Gurobi code in Python.

Given:
- French perfume contains 20 units of flower scent and 50 units of fruit scent per bottle.
- Spanish perfume contains 30 units of flower scent and 40 units of fruit scent per bottle.
- The mixture must contain at least 150 units of flower scent and 60 units of fruit scent.
- Cost per bottle of French perfume is $50.00, and for Spanish perfume, it's $45.00.

Let's define the symbolic variables:
- \(x_1\): Number of bottles of French perfume
- \(x_2\): Number of bottles of Spanish perfume

The objective function (to minimize cost) can be represented as:
\[50x_1 + 45x_2\]

Constraints:
1. Flower scent: \(20x_1 + 30x_2 \geq 150\)
2. Fruit scent: \(50x_1 + 40x_2 \geq 60\)
3. Non-negativity constraints: \(x_1 \geq 0, x_2 \geq 0\) (since we cannot buy a negative number of bottles)

Symbolic representation in JSON format:
```json
{
    'sym_variables': [('x1', 'Number of bottles of French perfume'), ('x2', 'Number of bottles of Spanish perfume')],
    'objective_function': '50*x1 + 45*x2',
    'constraints': ['20*x1 + 30*x2 >= 150', '50*x1 + 40*x2 >= 60', 'x1 >= 0', 'x2 >= 0']
}
```

Now, let's implement this in Gurobi using Python:

```python
from gurobipy import *

# Create a model
m = Model("Perfume_Mixing_Problem")

# Define variables
x1 = m.addVar(vtype=GRB.CONTINUOUS, name="French_Perfume", lb=0)
x2 = m.addVar(vtype=GRB.CONTINUOUS, name="Spanish_Perfume", lb=0)

# Set objective function
m.setObjective(50*x1 + 45*x2, GRB.MINIMIZE)

# Add constraints
m.addConstr(20*x1 + 30*x2 >= 150, "Flower_Scent_Constraint")
m.addConstr(50*x1 + 40*x2 >= 60, "Fruit_Scent_Constraint")

# Optimize model
m.optimize()

# Print results
if m.status == GRB.OPTIMAL:
    print(f"Optimal solution found: Buy {x1.x} bottles of French perfume and {x2.x} bottles of Spanish perfume.")
    print(f"Total cost: ${50*x1.x + 45*x2.x}")
else:
    print("No optimal solution found")
```