Updated application file

app.py

@@ -1,5 +1,56 @@
+import os
+
+import pandas as pd
+import pandas_profiling
 import streamlit as st
+#ML stuff
+from pycaret.classification import compare_models, pull, save_model, setup
+from pycaret.regression import compare_models, pull, save_model, setup
+from streamlit_pandas_profiling import st_profile_report
+
+with st.sidebar:
+    st.image("https://cdn.pixabay.com/photo/2018/09/18/11/19/artificial-intelligence-3685928_1280.png")
+    st.title("EasyAutoML")
+    choice = st.radio("Navigation",["Data loading","Exploratory","Modeling","Download"])
+    st.info("This application to explore your data & build an automated ML pipeline.")
+
+
+if os.path.exists("source_data.csv"):
+    df = pd.read_csv("source_data.csv", index_col=None)
+
+
+if choice == "Data loading":
+    st.title("Upload your data for modeling") 
+    file = st.file_uploader("Upload your dataset here")
+    if file:
+        df = pd.read_csv(file, index_col=None)
+        df.to_csv("source_data.csv", index=None)
+        st.dataframe(df)
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+elif choice == "Exploratory":
+    st.title('Automated EDA')
+    profile_report = df.profile_report()
+    st_profile_report(profile_report)
+    
+elif choice == "Modeling":
+    
+    st.title('Time for ML')
+    target = st.selectbox('Choose the target column', df.columns)
+    if st.button("Train model"):
+        setup(df, target=target, silent=True)
+        setup_df = pull()
+        st.info("This is the ML experiment settings")
+        st.dataframe(setup_df)
+        best_model = compare_models()
+        compare_df = pull()
+        st.info("This is the ML model")
+        st.dataframe(compare_df)
+        best_model
+        save_model(best_model, 'best_model')
+elif choice == "Download":
+    with open("best_model.pkl",'rb') as f:
+        st.download_button("Download the model file",f,"best_model.pkl")
+else:
+    pass
 
+st.write("Made with <3 by Amdjed")

requirements.txt

@@ -0,0 +1,4 @@
+pycaret==2.3.10
+streamlit-pandas-profiling
+pandas-profiling
+streamlit