| import os |
| import sys |
| import json |
| import gradio as gr |
|
|
| |
| PROJECT_ROOT = os.path.abspath(os.path.dirname(__file__)) |
| if PROJECT_ROOT not in sys.path: |
| sys.path.insert(0, PROJECT_ROOT) |
|
|
| from ml.inference.unified_inference import inference_service |
|
|
| LIVE_API_KEY = os.getenv("MODEL_API_KEY", "c360_live_key_9f8a2b7c4e1d") |
|
|
| def predict_gradio( |
| customer_id, name, recency_days, frequency_purchases, monetary_total_spend, |
| website_visits_30d, product_views_30d, cart_additions_30d, cart_abandonments_30d, |
| support_tickets_30d, engagement_change_pct, preferred_channel, preferred_category, |
| api_key_input |
| ): |
| |
| if api_key_input != LIVE_API_KEY: |
| return {"error": "Unauthorized: Invalid API Key. Please provide the correct X-API-Key."} |
|
|
| cust_dict = { |
| "customer_id": customer_id or "C1001", |
| "name": name or "Sample Customer", |
| "recency_days": int(recency_days), |
| "frequency_purchases": int(frequency_purchases), |
| "monetary_total_spend": float(monetary_total_spend), |
| "website_visits_30d": int(website_visits_30d), |
| "product_views_30d": int(product_views_30d), |
| "cart_additions_30d": int(cart_additions_30d), |
| "cart_abandonments_30d": int(cart_abandonments_30d), |
| "email_opens_30d": 5, |
| "email_clicks_30d": 2, |
| "support_tickets_30d": int(support_tickets_30d), |
| "engagement_change_pct": float(engagement_change_pct), |
| "preferred_channel": preferred_channel, |
| "preferred_category": preferred_category |
| } |
|
|
| res = inference_service.predict_customer_decision(cust_dict) |
| return res |
|
|
| |
| with gr.Blocks(title="Customer360 AI -- Live Model Decision Studio") as demo: |
| gr.Markdown("# 🧠 Customer360 AI -- Live Model Decision Studio") |
| gr.Markdown("Real-time Churn Prediction, Purchase Propensity, Customer Lifetime Value & Next Best Action Engine.") |
| |
| with gr.Row(): |
| with gr.Column(): |
| api_key_input = gr.Textbox(label="Live API Key", value="c360_live_key_9f8a2b7c4e1d", type="password") |
| customer_id = gr.Textbox(label="Customer ID", value="C1024") |
| name = gr.Textbox(label="Customer Name", value="Ananya Sharma") |
| recency_days = gr.Number(label="Days Inactive (Recency)", value=74) |
| frequency_purchases = gr.Number(label="Total Purchases", value=12) |
| monetary_total_spend = gr.Number(label="Lifetime Spend (INR)", value=45000) |
| website_visits_30d = gr.Number(label="30-Day Website Visits", value=3) |
| product_views_30d = gr.Number(label="30-Day Product Views", value=5) |
| cart_additions_30d = gr.Number(label="30-Day Cart Additions", value=3) |
| cart_abandonments_30d = gr.Number(label="30-Day Cart Abandonments", value=2) |
| support_tickets_30d = gr.Number(label="30-Day Support Tickets", value=3) |
| engagement_change_pct = gr.Number(label="Engagement Trend %", value=-65.0) |
| preferred_channel = gr.Dropdown(label="Preferred Channel", choices=["WhatsApp", "Email", "Push", "SMS"], value="WhatsApp") |
| preferred_category = gr.Dropdown(label="Preferred Category", choices=["Electronics", "Fashion", "Home & Kitchen", "Beauty & Care", "Sports & Fitness"], value="Electronics") |
| |
| btn = gr.Button("🚀 Run Live ML Inference", variant="primary") |
|
|
| with gr.Column(): |
| output_json = gr.JSON(label="ML Prediction & Next Best Action Result") |
|
|
| btn.click( |
| fn=predict_gradio, |
| inputs=[ |
| customer_id, name, recency_days, frequency_purchases, monetary_total_spend, |
| website_visits_30d, product_views_30d, cart_additions_30d, cart_abandonments_30d, |
| support_tickets_30d, engagement_change_pct, preferred_channel, preferred_category, |
| api_key_input |
| ], |
| outputs=output_json |
| ) |
|
|
| if __name__ == "__main__": |
| demo.launch(server_name="0.0.0.0", server_port=int(os.environ.get("PORT", 7860))) |
|
|
