Update app.py

app.py

@@ -4,7 +4,8 @@ import numpy as np
 import matplotlib.pyplot as plt
 from PIL import Image
 import copy
-
+import time
+from time import strftime
 
 sample_data = {
     "gpus" : {
@@ -26,7 +27,7 @@ sample_data = {
       }, 
       {
         'index': 2, 
-        'timestamp': 1701157843.518921, 
+        'timestamp': 1701157845.518921, 
         'transactions': [
             {'id': 'Alice', 'kind': 'add', 'data': '16'}, 
             {'id': 'bob', 'kind': 'add', 'data': '16'}, 
@@ -38,7 +39,7 @@ sample_data = {
         },
     {
         'index': 3, 
-        'timestamp': 1701157843.535392, 
+        'timestamp': 1701157846.535392, 
         'transactions': [
             {'id': 'Alice', 'kind': 'add', 'data': '16'}, 
             {'id': 'TOM', 'kind': 'add', 'data': '8'}, 
@@ -50,7 +51,7 @@ sample_data = {
         },
     {
         'index': 4, 
-        'timestamp': 1701157843.545325, 
+        'timestamp': 1701157847.545325, 
         'transactions': [
             {'id': 'Alice', 'kind': 'inference', 'data': '16'}, 
             {'id': 'bob', 'kind': 'inference', 'data': '16'}, 
@@ -62,7 +63,7 @@ sample_data = {
         },
     {
         'index': 5, 
-        'timestamp': 1701157843.582371, 
+        'timestamp': 1701157849.582371, 
         'transactions': [
             {'id': 'Alice', 'kind': 'out', 'data': '16'}, 
             {'id': 'bob', 'kind': 'out', 'data': '16'}, 
@@ -85,7 +86,7 @@ timestamp_list = []
 name_list = []
 timestamp_gpu_data = []
 for block in sample_data['chain']:
-    timestamp_list.append(block['timestamp'])
+    timestamp_list.append(strftime('%Y-%m-%d %I:%M:%S %p', localtime( block['timestamp'] )))
     for t in block['transactions']:
         if t['kind'] == "add":
             if not t['id'] in name_list:
@@ -108,7 +109,7 @@ col3.metric("Percent", f"{round(100 * used_gpu/total_gpu, 2)} %",)
 
 chart_data = pd.DataFrame(timestamp_gpu_data, columns = name_list, index = timestamp_list)
 
-last_timestamp = sample_data['chain'][-1]['timestamp']
+last_timestamp = strftime('%Y-%m-%d %I:%M:%S %p', localtime( sample_data['chain'][-1]['timestamp'] ))
 st.area_chart(chart_data)
 st.caption(f'last updated in timestamp {last_timestamp}.')