add multipage and data_upload modules

app.py

@@ -4,6 +4,8 @@ import random
 import datetime
 
 # Custom imports
+from multipage import MultiPage
+from pages import data_upload
 from pages.utils import add_blanks, chunker, random_session_id, check_answer
 
 DATABASE = 'vocabulary.db'
@@ -42,11 +44,6 @@ def form_callback(questions):
     conn.close()
     score_val = 100 * num_correct / len(questions)
     st.metric(label="Final Score", value=f"{score_val}%")
-    # c, conn = db_connect(DATABASE)
-    # session_tup = (session_id,)
-    # query = "SELECT * FROM responses WHERE session_id = ?"
-    # for item in c.execute(query, session_tup):
-    #     st.write(item)
     
 if "form_submit" not in st.session_state: 
     c, conn = db_connect(DATABASE)

pages/upload.py

@@ -0,0 +1,30 @@
+import streamlit as st
+import numpy as np
+import pandas as pd
+
+# @st.cache
+def app():
+    st.markdown("## Data Upload")
+
+    # Upload the dataset and save as csv
+    st.markdown("### Upload a csv file for analysis.") 
+    st.write("\n")
+
+    # Code to read a single file 
+    uploaded_file = st.file_uploader("Choose a file", type = ['csv', 'xlsx'])
+    global data
+    if uploaded_file is not None:
+        try:
+            data = pd.read_csv(uploaded_file)
+        except Exception as e:
+            print(e)
+            data = pd.read_excel(uploaded_file)
+    
+
+    ''' Load the data and save the columns with categories as a dataframe. 
+    This section also allows changes in the numerical and categorical columns. '''
+    if st.button("Load Data"):
+        
+        # Raw data 
+        st.dataframe(data)
+        # data.to_csv('data/main_data.csv', index=False)