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app.py

@@ -3,6 +3,17 @@ import numpy as np
 import plotly.graph_objects as go
 import gradio as gr
 from io import StringIO
+import os
+import logging
+
+# Set up logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+# Force CPU-only mode
+os.environ['CUDA_VISIBLE_DEVICES'] = ''
+
+logger.info("Starting application setup")
 
 # Embed the CSV data directly in the code
 csv_data = '''cik,institution,final_score,long_term_performance_score,conviction_and_strategy_score,research_quality_and_adaptability_score,influence_and_governance_score,top_holdings_performance_score
@@ -26,11 +37,16 @@ csv_data = '''cik,institution,final_score,long_term_performance_score,conviction
 # Load the data from the embedded CSV string
 df = pd.read_csv(StringIO(csv_data))
 
+logger.info(f"Data loaded. Shape: {df.shape}")
+
 # Clean the data
 df = df.dropna(subset=['final_score'])
 df = df.assign(institution=df['institution'].str.strip())
 
+logger.info(f"Data cleaned. Shape after cleaning: {df.shape}")
+
 def create_radar_chart(institution):
+    logger.info(f"Creating radar chart for {institution}")
     # Get the data for the selected institution
     inst_data = df[df['institution'] == institution].iloc[0]
     
@@ -66,6 +82,7 @@ def create_radar_chart(institution):
     return fig
 
 def create_bar_chart(institution):
+    logger.info(f"Creating bar chart for {institution}")
     # Get the data for the selected institution
     inst_data = df[df['institution'] == institution].iloc[0]
     
@@ -97,6 +114,7 @@ def create_bar_chart(institution):
     return fig
 
 def update_dashboard(institution):
+    logger.info(f"Updating dashboard for {institution}")
     radar_chart = create_radar_chart(institution)
     bar_chart = create_bar_chart(institution)
     
@@ -109,6 +127,8 @@ def update_dashboard(institution):
             radar_chart, 
             bar_chart)
 
+logger.info("Creating Gradio interface")
+
 # Create the Gradio interface
 iface = gr.Interface(
     fn=update_dashboard,
@@ -123,5 +143,14 @@ iface = gr.Interface(
     description="Select an institution to view its performance metrics and scores."
 )
 
+logger.info("Launching Gradio interface")
+
 # For Hugging Face Spaces deployment
-iface.launch()
+iface.launch(
+    share=False,  # Disable sharing as it's not needed in Spaces
+    debug=True,   # Enable debug mode for more detailed error messages
+    show_error=True,  # Show full error stack traces
+    enable_queue=False  # Disable queueing to avoid any potential GPU-related queueing issues
+)
+
+logger.info("Application setup complete")