Create app.py

app.py

@@ -0,0 +1,107 @@
+import os
+import sys
+from random import randint
+import time
+import uuid
+import argparse
+import streamlit as st
+sys.path.append(os.path.abspath("../supv"))
+from matumizi.util import *
+from mcclf import *
+
+def  genVisitHistory(numUsers, convRate, label):
+    for i in range(numUsers):
+        userID = genID(12)
+        userSess = []
+        userSess.append(userID)
+
+        conv = randint(0, 100)
+        if (conv < convRate):
+            #converted
+            if (label):
+                if (randint(0,100) < 90):
+                    userSess.append("T")
+                else:
+                    userSess.append("F")
+
+
+            numSession = randint(2, 20)
+            for j in range(numSession):
+                sess = randint(0, 100)
+                if (sess <= 15):
+                    elapsed = "H"
+                elif (sess > 15 and sess <= 40):
+                    elapsed = "M"
+                else:
+                    elapsed = "L"
+
+                sess = randint(0, 100)
+                if (sess <= 15):
+                    duration = "L"
+                elif (sess > 15 and sess <= 40):
+                    duration = "M"
+                else:
+                    duration = "H"
+
+                sessSummary = elapsed + duration
+                userSess.append(sessSummary)
+
+
+        else:
+            #not converted
+            if (label):
+                if (randint(0,100) < 90):
+                    userSess.append("F")
+                else:
+                    userSess.append("T")
+
+            numSession = randint(2, 12)
+            for j in range(numSession):
+                sess = randint(0, 100)
+                if (sess <= 20):
+                    elapsed = "L"
+                elif (sess > 20 and sess <= 45):
+                    elapsed = "M"
+                else:
+                    elapsed = "H"
+
+                sess = randint(0, 100)
+                if (sess <= 20):
+                    duration = "H"
+                elif (sess > 20 and sess <= 45):
+                    duration = "M"
+                else:
+                    duration = "L"
+
+                sessSummary = elapsed + duration
+                userSess.append(sessSummary)
+
+        print(",".join(userSess))
+def trainModel(mlfpath):
+    model = MarkovChainClassifier(mlfpath)
+    model.train()
+
+def predictModel(mlfpath):
+    model = MarkovChainClassifier(mlfpath)
+    model.predict()
+
+def main():
+    st.title("Markov Chain Classifier")
+
+    # Add input fields for command line arguments
+    op = st.selectbox("Operation", ["gen", "train", "pred"])
+    numUsers = st.slider("Number of Users", 1, 1000, 100)
+    convRate = st.slider("Conversion Rate", 1, 100, 10)
+    label = st.checkbox("Add Label")
+    mlfpath = st.text_input("ML Config File Path", value="false")
+
+    # Call functions based on selected operation
+    if op == "gen":
+        st.button("Generate Visit History", on_click=lambda: genVisitHistory(numUsers, convRate, label))
+    elif op == "train":
+        st.button("Train Model", on_click=lambda: trainModel(mlfpath))
+    elif op == "pred":
+        st.button("Predict Model", on_click=lambda: predictModel(mlfpath))
+
+if __name__ == "__main__":
+    main()