Update app.py

app.py

@@ -2,7 +2,6 @@ import streamlit as st
 import pandas as pd
 import numpy as np
 
-
 df = pd.read_csv('last_results.csv')
 
 image1 = 'images/rs_pmpa.PNG'
@@ -44,13 +43,14 @@ with st.sidebar:
     selected_conta = st.selectbox('Seleciona Conta', df['Conta'].unique())
 
 # Filter the DataFrame based on selected values
-filtered_df = df[(df['Instituição'] == selected_instituicao) & (df['Conta'] == selected_conta)]
 
-# Create two columns
-col1, col2 = st.columns(2)
+# Set custom width for columns
+col1_width = 600
+col2_width = 800
+col1, col2 = st.columns([col1_width, col2_width])
 
 # Display the Forecasts values in the first column
-col1.header('Forecasts Values')
+col1.header('Valores previstos')
 
 if not filtered_df.empty:
     data_string = filtered_df['Forecasts'].iloc[0]
@@ -68,11 +68,11 @@ else:
     col1.warning('No data available for the selected filters.')
 
 # Display the Forecasts values as line plots in the second column
-col2.header('Forecasts Line Plots')
+col2.header('Gráfico com previsões')
 
 if not filtered_df.empty:
     data_string = filtered_df['Forecasts'].iloc[0]
-    
+
     # Create a list to store data for each period
     data = []
 
@@ -96,4 +96,4 @@ if not filtered_df.empty:
     col2.line_chart(chart_data.set_index('Period'))
 
 else:
-    col2.warning('No data available for the selected filters.')
+    col2.warning('No data available for the selected filters.')