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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 <user_name> and <space_name>
if response.status_code == 200:
result = response.json()
predicted_value = result["Lead"]
st.write("Predicted :",predicted_value)
else:
st.error("Error in API request")
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