version changes

pages/1_Model_Quality.py

@@ -0,0 +1,57 @@
+import streamlit as st
+import pandas as pd
+import numpy as np
+import plotly.express as px
+import Streamlit_functions as sf
+import response_curves_model_quality_base as rc1
+st.set_page_config(
+    layout="wide"
+)   
+
+
+st.header("Model Quality")
+st.write("MMM Model Quality")
+
+st.plotly_chart(sf.mmm_model_quality(),use_container_width=True)
+    
+media_df = sf.media_data()
+    # Create two columns for start date and end date input
+col1, col2 = st.columns(2)
+
+st.table(sf.model_metrics_table_func()) 
+
+with col1:
+    st.plotly_chart(sf.elasticity(media_df))
+with col2:
+    st.plotly_chart(sf.half_life(media_df))
+    
+
+# Dropdown menu options
+options = [
+    'Broadcast TV',
+    'Cable TV',
+    'Connected & OTT TV',
+    'Display Prospecting',
+    'Display Retargeting',
+    'Video',
+    'Social Prospecting',
+    'Social Retargeting',
+    'Search Brand',
+    'Search Non-brand',
+    'Digital Partners',
+    'Audio',
+    'Email']
+options1 = [
+    'View Line Plot',
+    'View Scattered Plot',
+    "View Both"]
+col1, col2 = st.columns(2)
+     # Create a dropdown menu   
+with col1:
+    selected_option = st.selectbox('Select a media channel:', options)
+    selected_option2 = st.selectbox('Select a Chart Type', options1)
+         # Display the selected option
+    st.plotly_chart(rc1.response_curves(selected_option,selected_option2))
+with col2:
+    st.write("")
+   

pages/2_Scenario_Planner.py

@@ -23,7 +23,8 @@ import warnings
 # Suppress specific warnings if necessary
 warnings.filterwarnings("ignore") 
 warnings.filterwarnings("ignore", category=UserWarning, message="The widget with key")
-
+# for i in :
+    # warnings.filterwarnings("ignore",)
 from classes import class_from_dict, class_to_dict
 import pickle
 import streamlit_authenticator as stauth