Update app.py

app.py

@@ -1,25 +1,41 @@
 import streamlit as st
 import pandas as pd
+import os
 
 # Title of the app
 st.title('OpenCLIP Model Results Viewer')
 
-# Displaying the specific CSV file if it exists in the app directory
+# Displaying the current working directory
+st.write(f"Current working directory: {os.getcwd()}")
+
+# List files in the current directory
+st.write("Files in the current directory:")
+st.write(os.listdir())
+
+# Specify the CSV file path
 csv_file_path = 'openclip_multilingual_retrieval_results.csv'
 
 try:
+    # Attempt to read the CSV file
     df = pd.read_csv(csv_file_path)
     
     # Display the dataframe
     st.write("### OpenCLIP Model Results")
     st.dataframe(df)
     
-    # # Optionally, you could add some visualizations or summaries
-    # st.write("### Summary Statistics")
-    # st.write(df.describe())
+    # Optionally, you could add some visualizations or summaries
+    st.write("### Summary Statistics")
+    st.write(df.describe())
     
-    # # If you want to create any specific plots
-    # if st.checkbox("Show Plot"):
-    #     st.line_chart(df)
+    # If you want to create any specific plots
+    if st.checkbox("Show Plot"):
+        st.line_chart(df)
+
 except FileNotFoundError:
-    st.error(f"File {csv_file_path} not found. Please ensure the file exists in the app directory.")
+    st.error(f"File {csv_file_path} not found. Please ensure the file exists in the app directory.")
+except pd.errors.EmptyDataError:
+    st.error(f"The file {csv_file_path} is empty. Please check the content of your CSV file.")
+except pd.errors.ParserError:
+    st.error(f"Unable to parse {csv_file_path}. Please ensure it's a valid CSV file.")
+except Exception as e:
+    st.error(f"An unexpected error occurred: {str(e)}")