Update app.py

app.py

@@ -43,18 +43,18 @@ import xgboost as xgb
 import os
 import kagglehub
 
-# Download latest version
-path = kagglehub.dataset_download("mczielinski/bitcoin-historical-data")
+# # Download latest version
+# path = kagglehub.dataset_download("mczielinski/bitcoin-historical-data")
 
-print("Path to dataset files:", path)
+# print("Path to dataset files:", path)
 
 
-# Path to the dataset folder (already defined as 'path')
+# # Path to the dataset folder (already defined as 'path')
 csv_file = "btcusd_1-min_data.csv"
-full_path = os.path.join(path, csv_file)
+# full_path = os.path.join(path, csv_file)
 
 # Load the dataset using pandas
-df = pd.read_csv(full_path)
+df = pd.read_csv("btcusd_1-min_data.csv")
 df['Date'] = pd.to_datetime(df['Timestamp'], unit='s').dt.date
 
 # Grouping the DataFrame by date and calculating the mean of 'Open', 'Close', 'High', 'Low', and 'Volume' columns