import streamlit as st import requests st.title("Lead Prediction System") # Input fields age = st.number_input("Age", min_value=0, value=25) current_occupation = st.selectbox("Current Occupation", ["Professional", "Unemployed", "Student"]) first_interaction = st.selectbox("First Interaction Platform", ["Website", "Mobile App"]) profile_completed = st.selectbox("Profile Completion Level", ["Low", "Medium", "High"]) website_visits = st.number_input("Number of Website Visits", min_value=0, value=3) time_spent_on_website = st.number_input("Time Spent on Website (in seconds)", min_value=0.0, value=180.0) page_views_per_visit = st.number_input("Page Views per Visit", min_value=0.0, value=4.5) last_activity = st.selectbox("Last Activity Type", ["Email Activity", "Phone Activity", "Website Activity"]) print_media_type1 = st.selectbox("Seen Newspaper Ad?", ["Yes", "No"]) print_media_type2 = st.selectbox("Seen Magazine Ad?", ["Yes", "No"]) digital_media = st.selectbox("Seen Digital Media Ad?", ["Yes", "No"]) educational_channels = st.selectbox("Heard via Educational Channels?", ["Yes", "No"]) referral = st.selectbox("Heard via Referral?", ["Yes", "No"]) lead_data = { "age": age, "current_occupation": current_occupation, "first_interaction": first_interaction, "profile_completed": profile_completed, "website_visits": website_visits, "time_spent_on_website": time_spent_on_website, "page_views_per_visit": page_views_per_visit, "last_activity": last_activity, "print_media_type1": print_media_type1, "print_media_type2": print_media_type2, "digital_media": digital_media, "educational_channels": educational_channels, "referral": referral } if st.button("Predict", type='primary'): response = requests.post("https://ranjithgopalan1789-Sunday-7-19-API/v1/predict", json=lead_data) # Replace and if response.status_code == 200: result = response.json() predicted_value = result["Lead"] st.write("Predicted :",predicted_value) else: st.error("Error in API request")