Update app.py

app.py

@@ -5,52 +5,64 @@ from insights import explain_score
 from logger import log_submission
 
 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)
-
-    # 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
-    })
-
-    return lead_score, ai_score, confidence, risk, recommendation, explanation
+    try:
+        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)
+
+        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
+        })
+
+        return lead_score, ai_score, confidence, risk, recommendation, explanation
+    
+    except Exception as e:
+        return 0, 0, 0.0, "Error", "N/A", f"Error occurred: {str(e)}"
 
 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.")
+    gr.Markdown("## 🤖 AI-Powered Deal Qualification Engine")
+    gr.Markdown("Intelligently qualify sales deals using engagement and pipeline signals.")
+
+    with gr.Tab("📥 Input"):
+        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 (Last 7 Days)", value=3)
+            meetings = gr.Number(label="📅 Meetings (Last 30 Days)", value=2)
+            close_gap = gr.Number(label="📆 Days Until Close", value=14)
 
-    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")
+        feedback = gr.Textbox(label="💬 Optional: Rep Feedback", placeholder="Add any qualitative insights...")
 
-    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=14)
+        submit = gr.Button("🚀 Run AI Scoring")
 
-    feedback = gr.Textbox(label="Optional: Rep Feedback")
+    with gr.Tab("📈 Results"):
+        with gr.Accordion("AI Scoring Output", open=True):
+            lead_score_out = gr.Number(label="🔢 Lead Score", interactive=False)
+            ai_score_out = gr.Number(label="🌟 AI Score (0–100)", interactive=False)
+            confidence_out = gr.Number(label="📐 Confidence", interactive=False)
 
-    with gr.Row():
-        submit = gr.Button("Run AI Scoring")
+            risk_out = gr.Textbox(label="⚠️ Risk Level", lines=1, interactive=False)
+            reco_out = gr.Textbox(label="💡 AI Recommendation", lines=2, interactive=False)
+            explain_out = gr.Textbox(label="🧠 Explanation", lines=5, interactive=False)
 
-    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")
+        status = gr.Markdown("")  # Optional status or error message
 
-    submit.click(fn=run_engine,
-                 inputs=[amount, stage, industry, emails, meetings, close_gap, feedback],
-                 outputs=[lead_score_out, ai_score_out, confidence_out, risk_out, reco_out, explain_out])
+    submit.click(
+        fn=run_engine,
+        inputs=[amount, stage, industry, emails, meetings, close_gap, feedback],
+        outputs=[lead_score_out, ai_score_out, confidence_out, risk_out, reco_out, explain_out]
+    )
 
-app.launch()
+app.launch(share=False)