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Running
on
CPU Upgrade
Update app.py
Browse files
app.py
CHANGED
@@ -59,7 +59,8 @@ print(type(global_df))
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community_global_df = pd.DataFrame()
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community_global_df_with_id = pd.DataFrame()
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community_global_df_gradio = pd.DataFrame()
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-
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data = pd.read_csv("https://docs.google.com/spreadsheets/d/1hQSsIg1Y9WdBF_CdNM1L1rUUREoxKqRTe3_ILo-WK8w/export?format=csv&gid=0")
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data2 = pd.read_csv("https://docs.google.com/spreadsheets/d/1T_twNONDSZ8zw7aDcYhw92DlawqPktti1xFw9ssJ13Y/export?format=csv&gid=0")
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@@ -734,10 +735,6 @@ def run_bot():
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threading.Thread(target=run_bot).start()
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URL = "https://docs.google.com/spreadsheets/d/1hQSsIg1Y9WdBF_CdNM1L1rUUREoxKqRTe3_ILo-WK8w/edit#gid=0"
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csv_url = URL.replace('/edit#gid=', '/export?format=csv&gid=')
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def get_data():
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try:
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return community_global_df_gradio
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@@ -760,11 +757,11 @@ def get_data2():
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demo = gr.Blocks()
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with demo:
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try:
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dataframe1 = pd.read_csv(
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column_values_unique = sorted(dataframe1.iloc[:, 3].unique())
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dataframe2 = pd.DataFrame({'Levels': column_values_unique})
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counts = {}
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for value in
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counts[value] = counts.get(value, 0) + 1
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dataframe2['Members'] = dataframe2['Levels'].map(counts)
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community_global_df = pd.DataFrame()
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community_global_df_with_id = pd.DataFrame()
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community_global_df_gradio = pd.DataFrame()
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csv_url = "https://docs.google.com/spreadsheets/d/1C8aLqgCqLYcMiIFf-P_Aosaa03C_WLIB_UyqvjSdWg8/export?format=csv&gid=0"
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test_merge = pd.read_csv(csv_url)
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data = pd.read_csv("https://docs.google.com/spreadsheets/d/1hQSsIg1Y9WdBF_CdNM1L1rUUREoxKqRTe3_ILo-WK8w/export?format=csv&gid=0")
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data2 = pd.read_csv("https://docs.google.com/spreadsheets/d/1T_twNONDSZ8zw7aDcYhw92DlawqPktti1xFw9ssJ13Y/export?format=csv&gid=0")
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threading.Thread(target=run_bot).start()
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def get_data():
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try:
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return community_global_df_gradio
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demo = gr.Blocks()
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with demo:
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try:
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dataframe1 = pd.read_csv(csv_url)
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column_values_unique = sorted(dataframe1.iloc[:, 3].unique())
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dataframe2 = pd.DataFrame({'Levels': column_values_unique})
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counts = {}
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for value in test_merge.iloc[:, 3]:
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counts[value] = counts.get(value, 0) + 1
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dataframe2['Members'] = dataframe2['Levels'].map(counts)
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