Update app.py

app.py

@@ -1,18 +1,30 @@
 import gradio as gr
 from scorer import get_lead_score, calculate_score, calculate_confidence, calculate_risk
 from recommender import generate_recommendation
+from insights import explain_score
+from logger import log_submission
 
-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)
+def run_engine(amount, stage, industry, emails, meetings, close_gap, feedback=""):
+    lead_score = get_lead_score(stage, emails, meetings, close_gap, amount)
+    ai_score = calculate_score(lead_score, emails, meetings, close_gap, amount)
     confidence = calculate_confidence(ai_score)
     risk = calculate_risk(ai_score, confidence, emails, meetings)
     recommendation = generate_recommendation(stage, emails, meetings, risk)
+    explanation = explain_score(lead_score, ai_score, confidence, risk, stage, close_gap, emails, meetings)
 
-    return lead_score, ai_score, confidence, risk, recommendation
+    # Simulate logging (can be extended to DB)
+    log_submission({
+        "amount": amount, "stage": stage, "industry": industry,
+        "emails": emails, "meetings": meetings, "gap": close_gap,
+        "lead_score": lead_score, "score": ai_score, "confidence": confidence,
+        "risk": risk, "feedback": feedback
+    })
 
-with gr.Blocks(title="B2B Deal Qualification Engine") as demo:
-    gr.Markdown("## 🤖 AI-Powered Deal Qualification Engine")
+    return lead_score, ai_score, confidence, risk, recommendation, explanation
+
+with gr.Blocks(title="AI Deal Qualification Engine") as app:
+    gr.Markdown("# 🤖 AI-Powered Deal Qualification Engine")
+    gr.Markdown("Score deals intelligently using pipeline stage, engagement, and timing.")
 
     with gr.Row():
         amount = gr.Number(label="Deal Amount (USD)", value=50000)
@@ -22,19 +34,23 @@ with gr.Blocks(title="B2B Deal Qualification Engine") as demo:
     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)
+        close_gap = gr.Number(label="Days Until Close Date", value=14)
 
-    submit = gr.Button("Score Deal")
+    feedback = gr.Textbox(label="Optional: Rep Feedback")
 
     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")
+        submit = gr.Button("Run AI Scoring")
+
+    with gr.Accordion("📊 Results", open=True):
+        lead_score_out = gr.Number(label="Lead Score (Generated)", interactive=False)
+        ai_score_out = gr.Number(label="AI Score (0–100)", interactive=False)
+        confidence_out = gr.Number(label="Confidence", interactive=False)
+        risk_out = gr.Textbox(label="Risk Level")
         reco_out = gr.Textbox(label="AI Recommendation")
+        explain_out = gr.Textbox(label="AI Explanation")
 
     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])
+                 inputs=[amount, stage, industry, emails, meetings, close_gap, feedback],
+                 outputs=[lead_score_out, ai_score_out, confidence_out, risk_out, reco_out, explain_out])
 
-demo.launch()
+app.launch()