Update app.py

app.py

@@ -12,17 +12,19 @@ client = OpenAI(api_key=os.getenv("sk-proj-8qiNabsyPp9CvB8jxZZAGrKuwizCQareGvums
 
 def row_to_text(row):
     return (
-        f"Clinic: {row['Account_Name']}\n"
-        f"Region: {row['Region']}\n"
-        f"Account Manager: {row['Account_Manager']}\n"
-        f"Revenue: €{row['Revenue']}\n"
-        f"Last Purchase: {row['Last_Purchase_Date']}\n"
-        f"Churn Risk: {row['Churn_Risk']}\n"
-        f"Satisfaction Score: {row['Satisfaction_Score']}/10\n"
-        f"Product Interest: {row['Product_Interest']}\n"
-        f"Notes: {row['Account_Notes']}"
+        f"Clinic: {row.get('Account_Name', 'N/A')}\n"
+        f"Industry: {row.get('Industry', 'Dental')}\n"
+        f"Region: {row.get('Region', 'Unknown')}\n"
+        f"Account Manager: {row.get('Account_Manager', 'Unknown')}\n"
+        f"Revenue: €{row.get('Revenue', 'N/A')}\n"
+        f"Last Purchase: {row.get('Last_Purchase_Date', 'N/A')}\n"
+        f"Churn Risk: {row.get('Churn_Risk', 'N/A')}\n"
+        f"Satisfaction Score: {row.get('Satisfaction_Score', 'N/A')}/10\n"
+        f"Product Interest: {row.get('Product_Interest', 'N/A')}\n"
+        f"Notes: {row.get('Account_Notes', 'N/A')}"
     )
 
+
 def get_embedding(text):
     response = client.embeddings.create(
         input=[text],
@@ -93,16 +95,13 @@ with gr.Blocks(title="Contextual Pitch Assistant for Dental Sales") as app:
         """
     )
 
-    with gr.Row():
-        with gr.Column(scale=1, min_width=300):
-            csv_file = gr.File(label="📂 Upload CRM CSV (5–100 rows)", file_types=[".csv"])
-            query = gr.Textbox(
-                label="💬 Sales Query",
-                placeholder="e.g. Which clinic is best for our imaging subscription?",
-            )
-            run_btn = gr.Button("🚀 Generate Pitch")
-        with gr.Column(scale=2):
-            output = gr.HTML(label="✨ Email Pitch Preview")
+    csv_file = gr.File(label="📂 Upload CRM CSV (5–100 rows)", file_types=[".csv"])
+    query = gr.Textbox(label="💬 Sales Query", placeholder="e.g. Which clinic is best for our imaging subscription?")
+    run_btn = gr.Button("🚀 Generate Pitch")
+    output = gr.HTML(label="✨ Email Pitch Preview", elem_id="output_html")
+    
+    run_btn.click(fn=contextual_pitch_assistant, inputs=[csv_file, query], outputs=output)
+
 
     run_btn.click(fn=contextual_pitch_assistant, inputs=[csv_file, query], outputs=output)