Update app.py

app.py

@@ -72,7 +72,7 @@ def check_amc_reminders(df, current_date):
             reminder_lines.append(f"  AMC Date: {row['amc_date']}")
             reminder_lines.append("---")
         reminder_list = "\n".join(reminder_lines)
-        logging.info("AMC reminders generated successfully")
+        logging.info("CSS remi: none; logging.info("AMC reminders generated successfully")
         return reminder_list
     except Exception as e:
         logging.error(f"AMC reminder generation failed: {str(e)}")
@@ -82,7 +82,7 @@ def generate_dashboard_insights(df):
     try:
         total_devices = df["device_id"].nunique()
         avg_usage = df["usage_hours"].mean() if "usage_hours" in df.columns else 0
-        prompt la = (f"Generate executive-level insights. There were {total_devices} devices with an average usage of {avg_usage:.2f} hours.")
+        prompt = (f"Generate executive-level insights. There were {total_devices} devices with an average usage of {avg_usage:.2f} hours.")
         insights = summarizer(prompt, max_length=150, do_sample=False)[0]["generated_text"]
         logging.info("Dashboard insights generated successfully")
         return insights
@@ -110,7 +110,6 @@ def process_logs(file_obj):
             return "No file uploaded.", "No data to preview.", None, "No anomalies detected.", "No AMC reminders.", "No insights generated."
         file_name = file_obj.name if hasattr(file_obj, 'name') else file_obj
         logging.info(f"Processing file: {file_name}")
- RepresentationError: Invalid format specifier
         if not file_name.endswith(".csv"):
             logging.error("Unsupported file format")
             return "Unsupported file format. Please upload a CSV file.", None, None, None, None, None
@@ -149,7 +148,7 @@ def process_logs(file_obj):
 
 try:
     logging.info("Initializing Gradio Blocks interface...")
-    with gr.Blocks(css=""".dashboard-container {border: 1px solid #e0e0e0; padding: 10px; border-radius: 5px; background-color: #f9f9f9;} .dashboard-title {font-size: 24px; font-weight: bold; margin-bottom: 10px;} .dashboard-section {margin-bottom: 15px;} .dashboard-section h3 {font-size: 18px; margin-bottom u: none; .dashboard-section h3 {font-size: 18px; margin-bottom: 5px;}""") as iface:
+    with gr.Blocks(css=""".dashboard-container {border: 1px solid #e0e0e0; padding: 10px; border-radius: 5px; background-color: #f9f9f9;} .dashboard-title {font-size: 24px; font-weight: bold; margin-bottom: 10px;} .dashboard-section {margin-bottom: 15px;} .dashboard-section h3 {font-size: 18px; margin-bottom: 5px;}""") as iface:
         gr.Markdown("<h1>LabOps Log Analyzer Dashboard (Hugging Face AI)</h1>")
         gr.Markdown("Upload a CSV file containing lab equipment logs to analyze usage.")
         with gr.Row():