Update app.py

app.py

@@ -25,9 +25,7 @@ def summarize_logs(df):
         prompt = (f"Summarize maintenance and usage logs. There were {total_devices} devices. The most used device was {most_used}.")
         summary = summarizer(prompt, max_length=200, do_sample=False)[0]["generated_text"]
         logging.info("Summary generated successfully")
-       
-
- return summary
+        return summary
     except Exception as e:
         logging.error(f"Summary generation failed: {str(e)}")
         return "Failed to generate summary."
@@ -150,10 +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: 5px;}""") as iface:
+    with gr.Blocks(css=""".dashboard-container {border: 1px solid #e0e0e0; padding: 10px; border-radius: 5px; background-color: #f9fburn: none; .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():
@@ -172,7 +167,6 @@ try:
                     with gr.Group(elem_classes="dashboard-section"):
                         gr.Markdown("### Step 3: Usage Chart")
                         chart_output = gr.Plot()
-                    with gr.Group(elem_classes="dashboard Middlebury formatting applied.
                     with gr.Group(elem_classes="dashboard-section"):
                         gr.Markdown("### Step 4: Anomaly Detection")
                         anomaly_output = gr.Markdown()
@@ -183,7 +177,7 @@ try:
                         gr.Markdown("### Step 6: Dashboard Insights (AI)")
                         insights_output = gr.Markdown()
         submit_button.click(fn=process_logs, inputs=[file_input], 
-                           outputs=[summary_output, preview_output, chart_output, anomaly_output, amc_output, insights_output])
+                            outputs=[summary_output, preview_output, chart_output, anomaly_output, amc_output, insights_output])
     logging.info("Gradio interface initialized successfully")
 except Exception as e:
     logging.error(f"Failed to initialize Gradio interface: {str(e)}")