Update app.py

app.py

@@ -249,17 +249,19 @@ def generate_batch_pdf(records, batch_uid):
     c.setFont("Helvetica-Bold", 14)
     y = 760
 
-    c.drawString(100, y, "Equipment Utilization Batch Report")
-    y -= 30
-    c.setFont("Helvetica", 12)
-
     for idx, record in enumerate(records, 1):
         # Start new page if near bottom
         if y < 100:
             c.showPage()
             c.setFont("Helvetica-Bold", 14)
             c.drawString(100, 770, "Equipment Utilization Batch Report")
-            y = 740
+            c.setFont("Helvetica", 12)
+            y = 750
+
+        # Print title on first page or new page
+        if y == 760:
+            c.drawString(100, y, "Equipment Utilization Batch Report")
+            y -= 20
             c.setFont("Helvetica", 12)
 
         c.drawString(100, y, f"Record {idx}: {record['Summary']['Equipment Name']}")
@@ -274,8 +276,8 @@ def generate_batch_pdf(records, batch_uid):
                 c.showPage()
                 c.setFont("Helvetica-Bold", 14)
                 c.drawString(100, 770, "Equipment Utilization Batch Report")
-                y = 740
                 c.setFont("Helvetica", 12)
+                y = 750
 
         y -= 10
         c.drawString(100, y, "-" * 50)
@@ -309,8 +311,9 @@ def manual_input(equipment, project, usage, idle, freq, cost, last, ai_suggestio
 
 def batch_upload(csv_file):
     try:
-        if not csv_file:
-            raise ValueError("Please upload a CSV file.")
+        if csv_file is None:
+            return "", None  # Gracefully handle cleared or empty input
+
         df = pd.read_csv(csv_file.name)
         
         required_columns = ['equipment_name', 'project_name', 'usage_hours', 'idle_hours', 'movement_frequency', 'cost_per_hour']
@@ -408,7 +411,7 @@ with gr.Blocks() as app:
                     outputs=[csv_output, batch_pdf]
                 )
                 clear_btn.click(
-                    lambda: ("", None),
+                    lambda: (None, "", None),  # Reset file input, output markdown, and pdf file output
                     None,
                     [csv_file, csv_output, batch_pdf]
                 )