added simple/advanced Interface

.streamlit/config.toml

 [theme]
-#primaryColor="#E0A505"
-#backgroundColor="#b7e4f3"
-#secondaryBackgroundColor="#b5f5cb"
-#textColor="#0a23bf"
+#base="dark"
 font="sans serif"
-
-#primaryColor="#E91E63"
-#backgroundColor="#FFE082"
-#secondaryBackgroundColor="#E6EE9C"
-#textColor="#0a23bf"
-
 primaryColor="#EF8354"
 backgroundColor="#FFFFFF"
 secondaryBackgroundColor="#7E8987"

Packages.py

@@ -43,6 +43,7 @@ from sklearn.metrics import pairwise_distances_argmin_min, adjusted_rand_score,
 
 ## Web app construction
 import streamlit as st
+from st_pages import Page, Section, show_pages, add_page_title, hide_pages
 from tempfile import NamedTemporaryFile
 # help on streamlit input https://docs.streamlit.io/library/api-reference/widgets
 

app.py

-#from Modules_manager.PCA_ import pca_maker
-
 from Packages import *
-st.set_page_config(page_title="NIRS Utils", page_icon=":goat:", layout="wide")
+st.set_page_config(page_title="NIRS Utils", page_icon=":goat:", layout="wide",)
+if 'interface' not in st.session_state:
+    st.session_state['interface'] = 'simple'
 from Modules import *
 from Class_Mod.DATA_HANDLING import *
 
-# graphical delimiter
-# st.write("---")
-
-# load images for web interface
-# img_sselect = Image.open("images\sselect.JPG")
-# img_general = Image.open("images\general.JPG")
-# img_predict = Image.open("images\predict.JPG")
 
-# TOC menu on the left
-# with st.sidebar:
-#     st.markdown("[Sample Selection](#sample-selection)")
-#     st.markdown("[Model Development](#create-a-model)")
-#     st.markdown("[Predictions Making](#predict)")
+# # TOC menu on the left
+show_pages(
+    [Page("app.py", "Home"),
+     Page("pages\\1-samples_selection.py", "Samples Selection"),
+     Page("pages\\2-model_creation.py", "Models Creation"),
+     Page("pages\\3-prediction.py", "Predictions"),
+     ]
+)
+hide_pages("Samples Selection")
+hide_pages("Models Creation")
+hide_pages("Predictions")
 
+with st.sidebar:
+    interface = st.selectbox(label="Interface", options=['simple', 'advanced'], key='interface')
+    st.page_link('pages\\1-samples_selection.py')
+    if st.session_state['interface'] == 'simple':
+        st.page_link('pages\\2-model_creation.py')
+    # if advanced interface, split Models Creation and Predictions
+    elif st.session_state['interface'] == 'advanced':
+        show_pages(
+            [Page("app.py", "Home"),
+             Page("pages\\1-samples_selection.py", "Samples Selection"),
+             Page("pages\\2-model_creation.py", "Models Creation"),
+             Page("pages\\3-prediction.py", "Predictions"),
+             ]
+        )
+        st.page_link('pages\\2-model_creation.py')
+        st.page_link('pages\\3-prediction.py')
 
 # Page header
 with st.container():

pages/1-samples_selection.py

@@ -3,6 +3,10 @@ st.set_page_config(page_title="NIRS Utils", page_icon=":goat:", layout="wide")
 from Modules import *
 from Class_Mod.DATA_HANDLING import *
 
+st.session_state["interface"] = st.session_state.get('interface')
+if st.session_state["interface"] == 'simple':
+    hide_pages("Predictions")
+
 ################################### Data Loading and Visualization ########################################
 container1 = st.container(border=True)
 col2, col1 = st.columns([3, 1])
@@ -90,7 +94,7 @@ cluster_methods = ['', 'Kmeans','HDBSCAN', 'AP']
 with container2:
     if sselectx_csv is not None:
         plot_type=['', 'PCA','UMAP', 'NMF']
-        cluster_methods = ['', 'Kmeans','UMAP', 'AP']
+        cluster_methods = ['', 'Kmeans','HDBSCAN', 'AP']
 
         with pc:
             type_plot = st.selectbox("Dimensionality reduction techniques: ", options=plot_type, key=37)

pages/2-model_creation.py

@@ -3,7 +3,9 @@ st.set_page_config(page_title="NIRS Utils", page_icon=":goat:", layout="wide")
 from Modules import *
 from Class_Mod.DATA_HANDLING import *
 
-
+st.session_state["interface"] = st.session_state.get('interface')
+if st.session_state["interface"] == 'simple':
+    hide_pages("Predictions")
 def nn(x):
     return x is not None
 ########################################################################################
@@ -107,4 +109,8 @@ if xcal_csv is not None and ycal_csv is not None:
 
                 # create a report with information on the model
                 ## see https://stackoverflow.com/a/59578663
-        #M4.pyplot(reg_plot(meas==(ycal_csv,ycal_csv,ycal_csv], pred=[ycal_csv,ycal_csv,ycal_csv]))
\ No newline at end of file
+        #M4.pyplot(reg_plot(meas==(ycal_csv,ycal_csv,ycal_csv], pred=[ycal_csv,ycal_csv,ycal_csv]))
+
+
+                if st.session_state['interface'] == 'simple':
+                    st.page_link('pages\\3-prediction.py', label = 'Keep on keepin\' on to predict your values !')

pages/3-prediction.py

@@ -3,6 +3,7 @@ st.set_page_config(page_title="NIRS Utils", page_icon=":goat:", layout="wide")
 from Modules import *
 from Class_Mod.DATA_HANDLING import *
 
+st.session_state["interface"] = st.session_state.get('interface')
 
 
 st.header("Predictions making", divider='blue')

requirements.txt

 streamlit>=1.3.0
+st_pages-0.4.5>=0.4.5
 requests>=2.24.0
 Pillow>=8.4.0
 protobuf>=3.19.0