diff --git a/examples/tuto_paper.jl b/examples/tuto_paper.jl
index b52ac72..f1c9248 100644
--- a/examples/tuto_paper.jl
+++ b/examples/tuto_paper.jl
@@ -6,7 +6,8 @@ md"""
 """
 
 md"""
-SWG as described in Métivier, Gobet and Parey
+This tutorial describes the Stochastic Weather Generator describes in *Interpretable Seasonal Hidden Markov Model for spatio-temporal stochastic rain generator in France* by Emmanuel Gobet, David Métivier and Sylvie Parey.
+It provides a step by step construction of the Seasonal Hidden Markov Model (SHMM), the interpretation of the hidden states as Weather regimes over France and eventually the validation of the model with simulations.
 """
 md"""
 ## Set up
@@ -43,6 +44,7 @@ using SmoothPeriodicStatsModels # Name might change. Small collection of smooth
 using StochasticWeatherGenerators # interface to use with SmoothPeriodicStatsModels.jl
 
 #-
+save_tuto_path = "../../assets/tuto_1"
 
 Random.seed!(1234)
 
@@ -51,8 +53,9 @@ md"""
 
 Some settings to have nice plots and save cropped version of plots (necessary in some cases).
 """
+
 using StatsPlots, LaTeXStrings
-using Plots.PlotMeasures # To play with margin in Plots
+using StatsPlots.PlotMeasures # To play with margin in Plots
 
 gr() # plotly() # for interactive plots
 default(thickness_scaling=1.2, fontfamily="Computer Modern", linewidth=2, label=nothing, size=(1000, 600))
@@ -60,12 +63,11 @@ scalefontsizes(1.5)
 cur_colors = get_color_palette(:auto, 100);
 my_palette(K) = palette(vcat(cur_colors[1], [cur_colors[c] for c in 3:4], cur_colors[2]), K)
 
-using Plots: @userplot, @recipe
 file_for_plot_utilities = download("https://raw.githubusercontent.com/dmetivie/StochasticWeatherGenerators.jl/master/examples/plot_utilities.jl")
 include(file_for_plot_utilities)
 
 md"""
-To plot maps, we use `GeoMakie.jl` + a hack with `NaturalEarth.jl`. This is quite experimental.
+To plot maps, we use `GeoMakie.jl` + a hack with `NaturalEarth.jl`. This is still experimental.
 I used `cartopy` before with `PyCall.jl` which works very well.
 
 For the following code to work you will need to add the following packages
@@ -78,10 +80,6 @@ Pkg.add("HTTP", "JSON3", "GeoMakie", "CairoMakie")
 file_for_maps_with_geomakie = download("https://raw.githubusercontent.com/dmetivie/StochasticWeatherGenerators.jl/master/examples/geo_makie_features.jl") # download file from a GitHub repo
 include(file_for_maps_with_geomakie)
 
-md"""
-### Data files
-"""
-
 md"""
 ### Global Parameters
 """