Update app.py

app.py

@@ -3,7 +3,7 @@ from openai import OpenAI
 from dotenv import load_dotenv
 import os
 
-# Load API key from .env
+# Load API key
 load_dotenv()
 api_key = os.getenv("openai_api_key")
 
@@ -11,18 +11,26 @@ client = OpenAI(api_key=api_key)
 
 # Function to generate game cards based on job profile
 def generate_game_cards(job_profile):
-    system_prompt = f"""Generate a complete set of game cards for the career {job_profile}. The output should include the following:
+    system_message = """You are an interactive career card developer. 
+    Generate a plain-text game card for any career. 
+    The response should NOT contain Markdown formatting, asterisks, or bullet points. 
+    Keep the text structured but in simple plain text format.
+    """
 
-    Title: {job_profile}
-    Overview: A short description of the role.
-    Pros & Cons: List 3-4 key pros and cons.
-    Dual Impact Highlights: Summarize how this career affects personal growth (e.g., satisfaction, skill development) and community impact (e.g., societal contributions, local development).
-    response should be in a plain-text not in markdown or any format
+    user_message = f"""Provide a game card for the career: {job_profile}. 
+    Include:
+    - Title: The job title.
+    - Overview: A short description of the role.
+    - Pros & Cons: List 3-4 key pros and cons in full sentences.
+    - Dual Impact Highlights: Explain how this career affects personal growth (skills, satisfaction) and community impact (society, economy).
     """
+
     response = client.chat.completions.create(
         model="gpt-4o-mini",
-        messages=[{"role": "system", "content": "You are an interactive career card developer."},
-                  {"role": "user", "content": system_prompt}]
+        messages=[
+            {"role": "system", "content": system_message},  # System instructions
+            {"role": "user", "content": user_message}  # User query with job details
+        ]
     )
     return response.choices[0].message.content