Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
|
@@ -31,6 +31,12 @@ with st.form("customer_form"):
|
|
| 31 |
NumberOfChildrenVisiting = st.number_input("Number of Children Visiting", 0, 5, 0)
|
| 32 |
Occupation = st.selectbox("Occupation", ["Salaried", "Business", "Self-Employed", "Other"])
|
| 33 |
MaritalStatus = st.selectbox("Marital Status", ["Single", "Married", "Divorced"])
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 34 |
|
| 35 |
submitted = st.form_submit_button("Predict")
|
| 36 |
|
|
@@ -41,13 +47,19 @@ if submitted:
|
|
| 41 |
"DurationOfPitch": DurationOfPitch,
|
| 42 |
"NumberOfTrips": NumberOfTrips,
|
| 43 |
"Gender": Gender,
|
| 44 |
-
"NumberOfPersonVisiting"
|
| 45 |
-
"NumberOfFollowups"
|
| 46 |
-
"PreferredPropertyStar"
|
| 47 |
-
"PitchSatisfactionScore"
|
| 48 |
-
"NumberOfChildrenVisiting"
|
| 49 |
"Occupation": Occupation,
|
| 50 |
-
"MaritalStatus": MaritalStatus
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 51 |
}])
|
| 52 |
|
| 53 |
prediction = model.predict(input_df)[0]
|
|
|
|
| 31 |
NumberOfChildrenVisiting = st.number_input("Number of Children Visiting", 0, 5, 0)
|
| 32 |
Occupation = st.selectbox("Occupation", ["Salaried", "Business", "Self-Employed", "Other"])
|
| 33 |
MaritalStatus = st.selectbox("Marital Status", ["Single", "Married", "Divorced"])
|
| 34 |
+
TypeofContact = st.selectbox("Type of Contact", ["Self Enquiry", "Company Agent", "Others"])
|
| 35 |
+
ProductPitched = st.selectbox("Product Pitched", ["ProductA", "ProductB", "ProductC"])
|
| 36 |
+
Designation = st.selectbox("Designation", ["Manager", "Executive", "Other"])
|
| 37 |
+
Passport = st.selectbox("Passport", ["Yes", "No"])
|
| 38 |
+
OwnCar = st.selectbox("Own Car", ["Yes", "No"])
|
| 39 |
+
CityTier = st.selectbox("City Tier", [1, 2, 3])
|
| 40 |
|
| 41 |
submitted = st.form_submit_button("Predict")
|
| 42 |
|
|
|
|
| 47 |
"DurationOfPitch": DurationOfPitch,
|
| 48 |
"NumberOfTrips": NumberOfTrips,
|
| 49 |
"Gender": Gender,
|
| 50 |
+
"NumberOfPersonVisiting": NumberOfPersonVisiting,
|
| 51 |
+
"NumberOfFollowups": NumberOfFollowups,
|
| 52 |
+
"PreferredPropertyStar": PreferredPropertyStar,
|
| 53 |
+
"PitchSatisfactionScore": PitchSatisfactionScore,
|
| 54 |
+
"NumberOfChildrenVisiting": NumberOfChildrenVisiting,
|
| 55 |
"Occupation": Occupation,
|
| 56 |
+
"MaritalStatus": MaritalStatus,
|
| 57 |
+
"TypeofContact": TypeofContact,
|
| 58 |
+
"ProductPitched": ProductPitched,
|
| 59 |
+
"Designation": Designation,
|
| 60 |
+
"Passport": Passport,
|
| 61 |
+
"OwnCar": OwnCar,
|
| 62 |
+
"CityTier": CityTier
|
| 63 |
}])
|
| 64 |
|
| 65 |
prediction = model.predict(input_df)[0]
|