Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
Update app.py
Browse files
app.py
CHANGED
|
@@ -59,8 +59,7 @@ print(type(global_df))
|
|
| 59 |
community_global_df = pd.DataFrame()
|
| 60 |
community_global_df_with_id = pd.DataFrame()
|
| 61 |
community_global_df_gradio = pd.DataFrame()
|
| 62 |
-
|
| 63 |
-
test_merge = pd.read_csv(csv_url)
|
| 64 |
data = pd.read_csv("https://docs.google.com/spreadsheets/d/1hQSsIg1Y9WdBF_CdNM1L1rUUREoxKqRTe3_ILo-WK8w/export?format=csv&gid=0")
|
| 65 |
data2 = pd.read_csv("https://docs.google.com/spreadsheets/d/1T_twNONDSZ8zw7aDcYhw92DlawqPktti1xFw9ssJ13Y/export?format=csv&gid=0")
|
| 66 |
|
|
@@ -735,6 +734,10 @@ def run_bot():
|
|
| 735 |
threading.Thread(target=run_bot).start()
|
| 736 |
|
| 737 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 738 |
def get_data():
|
| 739 |
try:
|
| 740 |
return community_global_df_gradio
|
|
@@ -761,7 +764,7 @@ with demo:
|
|
| 761 |
column_values_unique = sorted(dataframe1.iloc[:, 3].unique())
|
| 762 |
dataframe2 = pd.DataFrame({'Levels': column_values_unique})
|
| 763 |
counts = {}
|
| 764 |
-
for value in
|
| 765 |
counts[value] = counts.get(value, 0) + 1
|
| 766 |
dataframe2['Members'] = dataframe2['Levels'].map(counts)
|
| 767 |
|
|
|
|
| 59 |
community_global_df = pd.DataFrame()
|
| 60 |
community_global_df_with_id = pd.DataFrame()
|
| 61 |
community_global_df_gradio = pd.DataFrame()
|
| 62 |
+
test_merge = pd.read_csv("https://docs.google.com/spreadsheets/d/1C8aLqgCqLYcMiIFf-P_Aosaa03C_WLIB_UyqvjSdWg8/export?format=csv&gid=0")
|
|
|
|
| 63 |
data = pd.read_csv("https://docs.google.com/spreadsheets/d/1hQSsIg1Y9WdBF_CdNM1L1rUUREoxKqRTe3_ILo-WK8w/export?format=csv&gid=0")
|
| 64 |
data2 = pd.read_csv("https://docs.google.com/spreadsheets/d/1T_twNONDSZ8zw7aDcYhw92DlawqPktti1xFw9ssJ13Y/export?format=csv&gid=0")
|
| 65 |
|
|
|
|
| 734 |
threading.Thread(target=run_bot).start()
|
| 735 |
|
| 736 |
|
| 737 |
+
URL = "https://docs.google.com/spreadsheets/d/1hQSsIg1Y9WdBF_CdNM1L1rUUREoxKqRTe3_ILo-WK8w/edit#gid=0"
|
| 738 |
+
csv_url = URL.replace('/edit#gid=', '/export?format=csv&gid=')
|
| 739 |
+
|
| 740 |
+
|
| 741 |
def get_data():
|
| 742 |
try:
|
| 743 |
return community_global_df_gradio
|
|
|
|
| 764 |
column_values_unique = sorted(dataframe1.iloc[:, 3].unique())
|
| 765 |
dataframe2 = pd.DataFrame({'Levels': column_values_unique})
|
| 766 |
counts = {}
|
| 767 |
+
for value in data.iloc[:, 3]:
|
| 768 |
counts[value] = counts.get(value, 0) + 1
|
| 769 |
dataframe2['Members'] = dataframe2['Levels'].map(counts)
|
| 770 |
|