Upload folder using huggingface_hub

app.py

@@ -29,7 +29,7 @@ NumberOfTrips = st.slider("Number of Trips", 1, 20, 3)
 Passport = st.selectbox("Has Passport?", ["Yes", "No"])
 PitchSatisfactionScore = st.slider("Pitch Satisfaction Score", 1, 5, 3)
 OwnCar = st.selectbox("Owns a Car?", ["Yes", "No"])
-NumberOfChildrenVisiting = st.slider("Number of Children Visited", 0, 5, 1)
+NumberOfChildrenVisited = st.slider("Number of Children Visited", 0, 5, 1)
 Designation = st.selectbox("Designation", ["Executive", "Manager", "AVP", "VP", "Sr. Manager"])
 MonthlyIncome = st.number_input("Monthly Income", min_value=1000.0, value=30000.0)
 
@@ -52,7 +52,7 @@ input_data = pd.DataFrame([{
     'Passport': 1 if Passport == "Yes" else 0,
     'PitchSatisfactionScore': PitchSatisfactionScore,
     'OwnCar': 1 if OwnCar == "Yes" else 0,
-    'NumberOfChildrenVisiting': NumberOfChildrenVisiting,
+    'NumberOfChildrenVisited': NumberOfChildrenVisited,
     'Designation': Designation,
     'MonthlyIncome': MonthlyIncome
 }])

requirements.txt

@@ -1,7 +1,7 @@
 pandas==2.2.2
-huggingface_hub==0.23.0
-streamlit==1.32.2
-joblib==1.3.2
-scikit-learn==1.5.0
-xgboost==2.0.3
-mlflow==2.14.3
+huggingface_hub==0.32.6
+streamlit==1.43.2
+joblib==1.5.1
+scikit-learn==1.6.0
+xgboost==2.1.4
+mlflow==3.0.1