Adding labels in x y scatter plot with seaborn

I've spent hours on trying to do what I thought was a simple task, which is to add labels onto an XY plot while using seaborn.

Here's my code:

import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline
 
df_iris=sns.load_dataset("iris") 

sns.lmplot('sepal_length', # Horizontal axis
           'sepal_width', # Vertical axis
           data=df_iris, # Data source
           fit_reg=False, # Don't fix a regression line
           size = 8,
           aspect =2 ) # size and dimension

plt.title('Example Plot')
# Set x-axis label
plt.xlabel('Sepal Length')
# Set y-axis label
plt.ylabel('Sepal Width')

I would like to add to each dot on the plot the text in "species" column.

I've seen many examples using matplotlib but not using seaborn.

The following implementation will label each point with its respective species:

import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd
    
df = sns.load_dataset("iris") 

ax = sns.lmplot(x='sepal_length', # Horizontal axis
                y='sepal_width', # Vertical axis
                data=df, # Data source
                fit_reg=False, # Don't fix a regression line
                aspect=2) # size and dimension

plt.title('Example Plot')
# Set x-axis label
plt.xlabel('Sepal Length')
# Set y-axis label
plt.ylabel('Sepal Width')


def label_point(x, y, val, ax):
    a = pd.concat({'x': x, 'y': y, 'val': val}, axis=1)
    for i, point in a.iterrows():
        ax.text(point['x']+.02, point['y'], str(point['val']))

label_point(df.sepal_length, df.sepal_width, df.species, plt.gca())