csv

app.py

@@ -13,7 +13,7 @@ set_config(transform_output="pandas")
 # datetime.now().strftime('%d-%m-%Y _ %Hh %Mm %Ss')
 DIRPATH = os.path.dirname(os.path.realpath(__file__))
 tmp_dir = os.path.join(DIRPATH, "src", "assets", "tmp",)
-os.system(f'rm -vf {tmp_dir}/*')
+os.system(f'rm -vf {tmp_dir}/*.csv')
 tmp_df_fp = os.path.join(
     tmp_dir, f"history_{datetime.now().strftime('%d-%m-%Y _ %Hh %Mm %Ss')}.csv")
 ml_core_fp = os.path.join(DIRPATH, "src", "assets",
@@ -203,8 +203,8 @@ with gr.Blocks() as demo:
     This is a ML API for classification of crop to plant on a land regarding some features
     ''')
 
-    multiple_of = 7
-    print(f"\n[INFO] {init_df.shape[1]}\n")
+    # multiple_of = 7
+    # print(f"\n[INFO] {init_df.shape[1]}\n")
 
     with gr.Row():
         for i in range(0, init_df.shape[1],):