trial

app.py

@@ -6,7 +6,7 @@ from pycaret.classification import *
 os.environ['MLFLOW_TRACKING_USERNAME'] = 'fandanabil1379'
 os.environ['MLFLOW_TRACKING_PASSWORD'] = 'dadc32f6246f307c2fe4928f3074068f628b79ba'
 
-@st.cache_data
+# @st.cache_data
 def convert_df(df):
    return df.to_csv(index=False).encode('utf-8')
 
@@ -23,7 +23,7 @@ def load_model():
    loaded_model = mlflow.sklearn.load_model(f"models:/{model_name}/{stage}")
    return loaded_model
 
-@st.cache_data(experimental_allow_widgets=True)
+# @st.cache_data(experimental_allow_widgets=True)
 def prediction():
    # load data
    uploaded_file = st.file_uploader("Choose a file", type={"csv"})