Update app.py

app.py

@@ -19,7 +19,9 @@ def initialize_openai():
         if not api_key:
             return "Error: OPENAI_API_KEY not found in environment variables"
         
+        # Initialize the client without any additional parameters that might cause issues
         client = OpenAI(api_key=api_key)
+        
         # Test the API key with a simple request
         response = client.chat.completions.create(
             model="gpt-3.5-turbo",
@@ -28,7 +30,7 @@ def initialize_openai():
         )
         return True
     except Exception as e:
-        return str(e)
+        return f"OpenAI initialization error: {str(e)}"
 
 def analyze_journal_entry(entry_data):
     """Analyze a single journal entry using OpenAI"""
@@ -227,9 +229,9 @@ def generate_report(results, summary_stats):
     
 ## Summary
 - Total Entries Analyzed: {summary_stats['total_entries']}
-- High Risk Entries: {summary_stats['high_risk_count']} ({round(summary_stats['high_risk_count']/summary_stats['total_entries']*100, 1)}%)
-- Medium Risk Entries: {summary_stats['medium_risk_count']} ({round(summary_stats['medium_risk_count']/summary_stats['total_entries']*100, 1)}%)
-- Low Risk Entries: {summary_stats['low_risk_count']} ({round(summary_stats['low_risk_count']/summary_stats['total_entries']*100, 1)}%)
+- High Risk Entries: {summary_stats['high_risk_count']} ({round(summary_stats['high_risk_count']/summary_stats['total_entries']*100, 1) if summary_stats['total_entries'] > 0 else 0}%)
+- Medium Risk Entries: {summary_stats['medium_risk_count']} ({round(summary_stats['medium_risk_count']/summary_stats['total_entries']*100, 1) if summary_stats['total_entries'] > 0 else 0}%)
+- Low Risk Entries: {summary_stats['low_risk_count']} ({round(summary_stats['low_risk_count']/summary_stats['total_entries']*100, 1) if summary_stats['total_entries'] > 0 else 0}%)
 - Processing Time: {summary_stats['processing_time']} seconds
 
 ## Issues By Type