Update model.py

model.py

@@ -1,24 +1,30 @@
+# model.py
+
 def score_opportunity(data):
-    # Fake scoring logic based on weighted sum
+    # Weighted score calculation
     raw_score = (
         0.3 * (data['lead_score'] or 0) +
         0.2 * (data['email_count'] or 0) +
         0.2 * (data['meeting_count'] or 0) -
         0.1 * (data['close_date_gap'] or 0)
     )
-    raw_score += 0.1 * (1 if data['stage'] == "Negotiation" else 0)
+    # Extra points if at negotiation stage
+    if data['stage'] == "Negotiation":
+        raw_score += 10
+
+    # Clip score between 0–100
     raw_score = max(0, min(100, round(raw_score)))
 
-    # Risk classification
+    # Risk classification logic
     if raw_score >= 75:
         risk = "Low"
-        recommendation = "High chance of closing. Prioritize this deal."
+        recommendation = "✅ High chance of closing. Prioritize this deal."
     elif raw_score >= 50:
         risk = "Medium"
-        recommendation = "Moderate potential. Consider a follow-up soon."
+        recommendation = "🔁 Moderate potential. Consider a follow-up soon."
     else:
         risk = "High"
-        recommendation = "Low potential. Reassess engagement or de-prioritize."
+        recommendation = "⚠️ Low potential. Reassess or de-prioritize."
 
     return {
         "score": raw_score,