app.py

import streamlit as st
import requests

# -------------------------------
# Page Configuration
# -------------------------------
st.set_page_config(page_title="Bot Detector", layout="centered")

# -------------------------------
# Title and Description
# -------------------------------
st.title("🕵️ Bot Click Detector")
st.markdown("Detect fraudulent ad clicks using machine learning and interpret model decisions using SHAP explanations.")

# -------------------------------
# Input Fields
# -------------------------------
st.subheader("🔍 Enter Session Info")

region_options = ["Mercury", "Venus", "Earth", "Mars", "Jupiter", "Saturn", "Uranus", "Neptune"]
browser_options = ["Brave", "Chrome", "Edge", "Safari", "UCBrowser"]
device_options = ["Android", "iOS"]

region = st.selectbox("🌍 Region", region_options, index=2)
browser = st.selectbox("🌐 Browser", browser_options, index=1)
device = st.selectbox("📱 Device", device_options, index=0)

click_url = st.text_input(
    "🔗 Full Click URL",
    value="/ad_click?n=1&f=1&d=www.amazon.ca&sld=0&st=mobile_search_intl&nt=0&r=0&adx=none&adx_name=none&ttc=5314&q=sh%20rug%20gasmaker%20matty&ct=CA&kl=wt-wt&kp=-1"
)

single_input = {
    "region": region,
    "browser": browser,
    "device": device,
    "d": click_url
}

# -------------------------------
# Prediction and Output
# -------------------------------
if st.button("🚀 Predict"):
    with st.spinner("Sending data to model and generating SHAP explanation..."):
        try:
            response = requests.post(
                "https://Sheltonmaharesh-DuckDuckGoBackend.hf.space/v1/predict",
                json=single_input
            )

            if response.status_code == 200:
                result = response.json()

                # 🎨 Change background based on prediction
                if result["Prediction"] == "Bot Attack":
                    bg_color = "#ffe6e6"  # Light red
                else:
                    bg_color = "#e6ffe6"  # Light green

                # Inject background color
                st.markdown(
                    f"""
                    <style>
                        body {{
                            background-color: {bg_color};
                        }}
                    </style>
                    """,
                    unsafe_allow_html=True
                )

                # 🧠 Display Results
                st.success(f"🧠 Prediction: {result['Prediction']}")
                st.markdown("### 🔍 SHAP Explanation")
                st.text(result["SHAP Explanation"])

            else:
                st.error(f"❌ Backend returned error {response.status_code}: {response.text}")

        except Exception as e:
            st.error(f"🚨 Prediction failed: {e}")