update app.py

src/app.py

@@ -2,22 +2,37 @@ import streamlit as st
 import pandas as pd
 import os
 import tempfile
+import traceback
 
 # Set page title
 st.title("Student Grades Analysis")
 
+# Display Streamlit config directory for debugging
+st.write(f"Streamlit config directory: {os.getenv('STREAMLIT_CONFIG_DIR', 'Not set')}")
+
 # File uploader for CSV
 uploaded_file = st.file_uploader("Upload your student grades CSV file", type=["csv"])
 
 if uploaded_file is not None:
     try:
+        st.write(f"Uploaded file: {uploaded_file.name}, size: {uploaded_file.size} bytes")
+        
         # Create a temporary file to save the uploaded CSV
-        with tempfile.NamedTemporaryFile(delete=False, suffix='.csv') as tmp_file:
+        with tempfile.NamedTemporaryFile(delete=False, suffix='.csv', dir='/tmp') as tmp_file:
             tmp_file.write(uploaded_file.getvalue())
             tmp_file_path = tmp_file.name
+            st.write(f"Temporary file created at: {tmp_file_path}")
+
+        # Verify file exists and is readable
+        if os.path.exists(tmp_file_path):
+            st.write("Temporary file exists and is accessible")
+        else:
+            st.error("Temporary file was not created or is not accessible")
+            raise FileNotFoundError(f"Temporary file not found: {tmp_file_path}")
 
         # Read the CSV from the temporary file
         df = pd.read_csv(tmp_file_path)
+        st.write("CSV file successfully read into DataFrame")
 
         # Display the DataFrame
         st.subheader("Uploaded DataFrame")
@@ -42,7 +57,9 @@ if uploaded_file is not None:
 
         # Clean up the temporary file
         os.remove(tmp_file_path)
+        st.write("Temporary file deleted")
     except Exception as e:
         st.error(f"An error occurred while processing the file: {str(e)}")
+        st.error(f"Full traceback: {traceback.format_exc()}")
 else:
     st.info("Please upload a CSV file to see the data and statistics.")