| import gradio as gr | |
| from scorer import get_lead_score, calculate_score, calculate_confidence, calculate_risk | |
| from recommender import generate_recommendation | |
| def run_engine(amount, stage, industry, emails, meetings, close_gap): | |
| lead_score = get_lead_score(stage, emails, meetings, close_gap) | |
| ai_score = calculate_score(lead_score, emails, meetings, close_gap) | |
| confidence = calculate_confidence(ai_score) | |
| risk = calculate_risk(ai_score, confidence, emails, meetings) | |
| recommendation = generate_recommendation(stage, emails, meetings, risk) | |
| return lead_score, ai_score, confidence, risk, recommendation | |
| with gr.Blocks(title="B2B Deal Qualification Engine") as demo: | |
| gr.Markdown("## 🤖 AI-Powered Deal Qualification Engine") | |
| with gr.Row(): | |
| amount = gr.Number(label="Deal Amount (USD)", value=50000) | |
| stage = gr.Dropdown(["Prospecting", "Proposal/Price Quote", "Negotiation", "Closed Won", "Closed Lost"], label="Stage") | |
| industry = gr.Textbox(label="Industry", value="Software") | |
| with gr.Row(): | |
| emails = gr.Number(label="Emails in Last 7 Days", value=3) | |
| meetings = gr.Number(label="Meetings in Last 30 Days", value=2) | |
| close_gap = gr.Number(label="Days Until Close Date", value=10) | |
| submit = gr.Button("Score Deal") | |
| with gr.Row(): | |
| lead_score_out = gr.Number(label="Generated Lead Score") | |
| ai_score_out = gr.Number(label="AI Score (0–100)") | |
| confidence_out = gr.Number(label="Confidence Level (0–1)") | |
| risk_out = gr.Textbox(label="Risk Assessment") | |
| reco_out = gr.Textbox(label="AI Recommendation") | |
| submit.click(fn=run_engine, | |
| inputs=[amount, stage, industry, emails, meetings, close_gap], | |
| outputs=[lead_score_out, ai_score_out, confidence_out, risk_out, reco_out]) | |
| demo.launch() | |