Update app.py

app.py

@@ -5,24 +5,38 @@ import plotly.graph_objs as go
 import requests
 from io import StringIO
 
-# Function to load predictions from a GitHub repo
+
 @st.cache
 def load_data_predictions(github_token):
-    # GitHub API URL for the CSV file
+
     url = 'https://api.github.com/repos/mmmapms/Forecast_DAM_V2/contents/Predictions.csv'
     headers = {'Authorization': f'token {github_token}'}
     
-    # Make a GET request to the GitHub API
+
     response = requests.get(url, headers=headers)
     
     if response.status_code == 200:
-        # GitHub API response contains the file content in base64 encoding
+
         file_content = response.json()['content']
         csv_content = StringIO(file_content)
         
         df = pd.read_csv(csv_content, encoding='utf-8')
-        # Your renaming and preprocessing steps here
-        df = df.rename(columns={...})  # Your column renaming logic
+
+        df = df.rename(columns={
+        'Price': 'Real Price',
+        'DNN1': 'Neural Network 1',
+        'DNN2': 'Neural Network 2',
+        'DNN3': 'Neural Network 3',
+        'DNN4': 'Neural Network 4',
+        'DNN_Ensemble': 'Neural Network Ensemble',
+        'LEAR56': 'Regularized Linear Model 1',
+        'LEAR84': 'Regularized Linear Model 2',
+        'LEAR112': 'Regularized Linear Model 3',
+        'LEAR730': 'Regularized Linear Model 4',
+        'LEAR_Ensemble': 'Regularized Linear Model Ensemble',
+        'Persis': 'Persistence Model',
+        'Hybrid_Ensemble': 'Hybrid Ensemble'
+        })
         df['Date'] = pd.to_datetime(df['Date'], dayfirst=True)
         df_filtered = df.dropna(subset=['Real Price'])
         return df, df_filtered
@@ -30,7 +44,7 @@ def load_data_predictions(github_token):
         st.error("Failed to download data. Please check your GitHub token and repository details.")
         return pd.DataFrame(), pd.DataFrame()
 
-# Streamlit app UI for token input
+
 st.title("Belgium: Electricity Price Forecasting")
 github_token = st.secrets["GitHub_Token_Margarida"]