Update app.py

app.py

@@ -1,3 +1,5 @@
+# app.py
+
 import gradio as gr
 from model import score_opportunity
 from utils import validate_data
@@ -13,21 +15,15 @@ def predict_deal(amount, stage, industry, lead_score, emails_last_7_days, meetin
     }
 
     if not validate_data(input_data):
-        return 0, 0.0, "Invalid", "⚠️ Please enter valid numeric values and select a stage."
+        return 0, 0.0, "Invalid", "⚠️ Please enter all fields correctly."
 
     result = score_opportunity(input_data)
     return result['score'], result['confidence'], result['risk'], result['recommendation']
 
 with gr.Blocks(title="AI Deal Qualification Engine") as demo:
     gr.Markdown("""
-    # 🤖 AI-Powered Deal Qualification Engine
-    _Estimate the quality of your B2B opportunity using AI._
-
-    Enter opportunity details below to predict:
-    ✅ Deal Score  
-    ✅ Risk Level  
-    ✅ Confidence  
-    ✅ AI Recommendation
+    # 🤖 AI-Powered Deal Qualification Engine  
+    _Predict B2B deal success using AI-based scoring._
     """)
 
     with gr.Row():
@@ -37,23 +33,25 @@ with gr.Blocks(title="AI Deal Qualification Engine") as demo:
                 ["Prospecting", "Qualified", "Proposal", "Proposal/Price Quote", "Negotiation", "Closed Won", "Closed Lost"],
                 label="📊 Deal Stage"
             )
-            industry = gr.Textbox(label="🏭 Industry (e.g., Software, Healthcare)")
+            industry = gr.Textbox(label="🏭 Industry")
 
         with gr.Column():
             lead_score = gr.Number(label="📈 Lead Score (0–100)")
-            emails_last_7_days = gr.Number(label="✉️ Emails Last 7 Days")
-            meetings_last_30_days = gr.Number(label="📅 Meetings Last 30 Days")
+            emails_last_7_days = gr.Number(label="✉️ Emails in Last 7 Days")
+            meetings_last_30_days = gr.Number(label="📅 Meetings in Last 30 Days")
 
-    submit_btn = gr.Button("🔍 Predict Deal")
+    submit_btn = gr.Button("🔍 Predict")
 
     with gr.Row():
-        score = gr.Number(label="🧮 Deal Score (0–100)", interactive=False)
+        score = gr.Number(label="🧮 Score (0–100)", interactive=False)
         confidence = gr.Number(label="📊 Confidence (0–1)", interactive=False)
         risk = gr.Textbox(label="🚦 Risk Level", interactive=False)
-        recommendation = gr.Textbox(label="🧠 AI Recommendation", lines=2, interactive=False)
+        recommendation = gr.Textbox(label="🧠 Recommendation", lines=2, interactive=False)
 
-    submit_btn.click(fn=predict_deal,
-                     inputs=[amount, stage, industry, lead_score, emails_last_7_days, meetings_last_30_days],
-                     outputs=[score, confidence, risk, recommendation])
+    submit_btn.click(
+        fn=predict_deal,
+        inputs=[amount, stage, industry, lead_score, emails_last_7_days, meetings_last_30_days],
+        outputs=[score, confidence, risk, recommendation]
+    )
 
 demo.launch()