Update app.py

app.py

@@ -7,19 +7,18 @@ import matplotlib.pyplot as plt
 import altair as alt
 
 
-# Define the path to your data files relative to the script's location
-base_path = os.path.dirname(__file__)  # Get the directory of the current script
-data_folder = os.path.join(base_path, 'data', 'assignments_datasets', 'KIVA')
+# URLs to your data files hosted on Hugging Face
+file_urls = [
+    'https://huggingface.co/spaces/MarkusHenriksson13/Assignment_2/resolve/main/data/assignments_datasets/KIVA/kiva_loans_part_0.csv',
+    'https://huggingface.co/spaces/MarkusHenriksson13/Assignment_2/resolve/main/data/assignments_datasets/KIVA/kiva_loans_part_1.csv',
+    'https://huggingface.co/spaces/MarkusHenriksson13/Assignment_2/resolve/main/data/assignments_datasets/KIVA/kiva_loans_part_2.csv'
+]
 
 # Function to load and display data
 def load_data():
     try:
-        # Construct full paths to the data files
-        file_paths = [
-            os.path.join(data_folder, f'kiva_loans_part_{i}.csv') for i in range(3)
-        ]
-        # Load data parts
-        data_parts = [pd.read_csv(path) for path in file_paths]
+        # Load data parts from URLs
+        data_parts = [pd.read_csv(url) for url in file_urls]
 
         # Concatenate the datasets
         df_combined = pd.concat(data_parts, ignore_index=True)
@@ -31,14 +30,20 @@ def load_data():
 
         return df_combined
 
-    except FileNotFoundError as e:
-        st.error(f"File not found: {e}")
     except Exception as e:
         st.error(f"An error occurred: {e}")
+        return None
 
 # Load and display data
 df_combined = load_data()
 
+# Ensure df_combined is properly loaded before using it
+if df_combined is not None:
+    sectors = df_combined['sector'].unique().tolist()
+    st.write("Unique sectors:", sectors)
+else:
+    st.warning("Data could not be loaded; please check the file paths and try again.")
+
 # Introduction
 
 # KIVA Loans Distribution Dashboard