Update app.py

app.py

@@ -21,7 +21,7 @@ sample_data = {
     "chain" : [
       {
         'index': 1, 
-        'timestamp': 1701157843.5186985, 
+        'timestamp': 1701155843.5186985, 
         'transactions': [], 
         'previous_hash': '1'
       }, 
@@ -51,7 +51,7 @@ sample_data = {
         },
     {
         'index': 4, 
-        'timestamp': 1701157847.545325, 
+        'timestamp': 1701157947.545325, 
         'transactions': [
             {'id': 'Alice', 'kind': 'inference', 'data': '16'}, 
             {'id': 'bob', 'kind': 'inference', 'data': '16'}, 
@@ -63,7 +63,7 @@ sample_data = {
         },
     {
         'index': 5, 
-        'timestamp': 1701157849.582371, 
+        'timestamp': 1701157969.582371, 
         'transactions': [
             {'id': 'Alice', 'kind': 'out', 'data': '16'}, 
             {'id': 'bob', 'kind': 'out', 'data': '16'}, 
@@ -97,7 +97,7 @@ for block in sample_data['chain']:
                 name_list.append(t['id'])
 
 timestamp_gpu_data = [[0 for _ in range(len(name_list))]]
-timestamp_list_date = [1701154321.5186985, sample_data['chain'][0]['timestamp']]
+timestamp_list_date = [1701151321.5186985, sample_data['chain'][0]['timestamp']]
 
 for block in sample_data['chain']:
     temp = timestamp_gpu_data[int(block['index']) - 1]
@@ -129,7 +129,7 @@ timestamp_list_date_str = []
 for d in timestamp_list_date:
     timestamp_list_date_str.append(strftime('%Y-%m-%d', localtime( d )))
 call_data = pd.DataFrame(timestamp_inference_data, columns = ["inference call"], index = timestamp_list_date_str)
-st.bar_chart(call_data, width=2)
+st.bar_chart(call_data)
 
 
 class BubbleChart: