Update app.py

app.py

@@ -47,24 +47,39 @@ def contextual_pitch_assistant(csv_file, query):
     D, I = index.search(q_emb, 3)
     retrieved = [text_chunks[i] for i in I[0]]
 
+    # Extract name and clinic safely first (outside the f-string)
+    try:
+        account_manager = retrieved[0].split("Account Manager: ")[1].split("\n")[0].strip()
+    except Exception:
+        account_manager = "team"
+    
+    try:
+        account_name = retrieved[0].split("Clinic: ")[1].split("\n")[0].strip()
+    except Exception:
+        account_name = "your clinic"
+    
     prompt = f"""
     You are an expert in B2B email sales and marketing for dental technology solutions.
     
-    Write a short, natural-sounding **HTML sales email** for a dental clinic.
+    Write a short, natural-sounding HTML sales email for a dental clinic.
+    
     Rules:
-    - Always begin with "Dear {retrieved[0].split('Account Manager: ')[1].split('\\n')[0].strip()}," (the Account Manager’s name).
-    - Refer naturally to the clinic "{retrieved[0].split('Clinic: ')[1].split('\\n')[0].strip()}" in the body.
-    - Focus on the value and benefits of the proposed solution (no metrics or internal KPIs).
-    - Do **not** include placeholders like "Your Company Name" or "[Your Name]".
-    - Keep it under 150 words, professional yet approachable.
+    - Always begin with "Dear {account_manager}," as the greeting.
+    - Refer naturally to the clinic "{account_name}" in the body.
+    - Focus on value, benefits, and a helpful tone — avoid technical jargon or metrics like churn or satisfaction scores.
+    - Never include placeholders such as "Your Company Name" or "[Your Name]".
+    - Keep it under 150 words.
     - Include a polite call to action at the end (e.g. suggesting a demo or short call).
-    - Do not include any markdown formatting, only HTML tags.
+    - Return only HTML — no markdown, no code fences.
+    
     Query:
     {query}
+    
     CRM context (for your understanding, do not copy verbatim):
     {'---'.join(retrieved)}
     """
 
+
     response = client.chat.completions.create(
         model="gpt-4o-mini",
         messages=[{"role": "user", "content": prompt}],