diff --git a/src/app.py b/src/app.py
index 080a4bb7f332984df96156c20c0a4f22c28af521..01077f6f03eb571914e55a8e213845a0818229e9 100644
--- a/src/app.py
+++ b/src/app.py
@@ -1,17 +1,14 @@
-# Load dependencies
 from common import *
-st.set_page_config(page_title="NIRS Utils", page_icon=":goat:", layout="wide")
 
 
 
 
 
 # page layout
-pages_folder = Path("pages/")
 BackgroundImg(change = None)
 add_header()
 add_sidebar(pages_folder)
-local_css(css_file / "style_app.css") # replace the md <style> code
+local_css(css_file / "style_app.css")
 
 
 
diff --git a/src/pages/0-inputs.py b/src/pages/0-inputs.py
new file mode 100644
index 0000000000000000000000000000000000000000..a64e37dce1992da04711abee3bbfe980b5591c2e
--- /dev/null
+++ b/src/pages/0-inputs.py
@@ -0,0 +1,99 @@
+from common import *
+
+
+
+
+
+
+
+# page layout
+add_header()
+add_sidebar(pages_folder)
+local_css(css_file / "style_app.css")
+
+
+# Initialize session state
+if 'form_submitted' not in st.session_state:
+    st.session_state['form_submitted'] = False
+
+with st.container():
+    # Text input fields
+    st.subheader("Complete and save the following form with the data context:",divider="blue")
+    st.warning('Make sure that the form is reliably completed, because the quality of the results depends mainly on it !', icon="⚠️")
+
+    with st.form(key = 'my_form'):
+        _,col1, col3,col2 = st.columns((0.1, 1.4, 0.5, 2))
+        with col1:
+            ##############   Project information ###########
+            st.subheader("Project information", divider="blue")
+            meta_project = st.text_input('Project name :')
+            meta_machine_ID = st.text_input('NIRS ID :',)
+            meta_scan_place_options = ["Pace", "Other"]
+            meta_scan_place = st.radio("Analysis Laboratory :", meta_scan_place_options)
+            meta_sample_species = st.text_input('Samples species (If relevant, provide the sample species; otherwise insert No):')
+
+
+
+
+        with col2:
+            clo3,_, col4,_ = st.columns([1, 0.2, 1, 0.3])
+            with clo3:
+                ##############   The Nature of the Samples ###########
+                if '' in [meta_project, meta_machine_ID,meta_sample_species]: disabled1 = True                 
+                else: disabled1 = False
+                st.subheader("The Nature of the Samples",divider="blue")
+                meta_sample_category_options = ["Soil", "Plant", "Animal", "Other"]
+                meta_sample_category = st.radio("Samples category :", [""] + meta_sample_category_options)
+                meta_sample_sub_category_options = ["Green leaves", "Leaf litter", "Litter", "Humus", "Soil", "Animal part", "Animal Powder", "Fungal sample", "Other"]
+                meta_sample_sub_category = st.radio("Sample category description :", [""] + meta_sample_sub_category_options)
+            
+            with col4:
+                st.subheader("The Physical State of the Samples",divider="blue")
+                meta_sample_humidity_options = ["Dry", "Fresh", "Wet"]
+                meta_sample_humidity = st.radio("Humidity state of the sample :", [""] + meta_sample_humidity_options)
+
+                meta_sample_pretreatment_options = ["Powder", "Pastile", "Liquid"]
+                meta_sample_pretreatment = st.radio("Type of sample pre-treatment :", [""] + meta_sample_pretreatment_options)
+            
+            # Création du dictionnaire avec les données du formulaire
+            form_data = {
+                "meta_project": meta_project,
+                "meta_sample_species": meta_sample_species,
+                "meta_sample_category": meta_sample_category,
+                "meta_sample_pretreatment": meta_sample_pretreatment,
+                "meta_machine_ID": meta_machine_ID,
+                "meta_sample_sub_category": meta_sample_sub_category,
+                "meta_sample_humidity": meta_sample_humidity,
+                "meta_scan_place": meta_scan_place
+            }
+
+        submitted = st.form_submit_button(label='Save')
+    if submitted:
+        if '' not in form_data.values(): 
+            # Save the form data here
+            st.session_state['form_submitted'] = True
+            st.success('Form was saved successfully!', icon="✅")
+            # Enregistrement des données dans un fichier JSON
+            with open('form_data.json', 'w') as json_file:
+                json.dump(form_data, json_file)
+
+            match st.session_state['interface']:
+                case 'simple':
+                    header3, header4 = st.columns(2)
+                    if header3.button("Samples Selection"):
+                        st.switch_page(pages_folder / '1-samples_selection.py')
+                    if header4.button("Model Creation"):
+                        st.switch_page(pages_folder / '2-model_creation.py')
+                case 'advanced':
+                    header3, header4, header5 = st.columns(3)
+                    if header3.button("Samples Selection"):
+                        st.switch_page(pages_folder / '1-samples_selection.py')
+                    if header4.button("Model Creation"):
+                        st.switch_page(pages_folder / '2-model_creation.py')
+                    if header5.button("Prediction"):
+                        st.switch_page(pages_folder / '3-prediction.py')
+
+        else:
+            st.error('Error: The form was not saved, please ensure the required fields are filled!')
+
+