Update app.py

app.py

@@ -3,7 +3,7 @@ import requests
 
 # Azure OpenAI Configuration
 OPENAI_ENDPOINT = "https://rag-openai-service-ak.openai.azure.com/"
-OPENAI_KEY = "B1XyCaz87o456EVD949oODcGC8KTAEQsNLI7Yq5cnYKk41SMY9PtJQQJ99AKACHYHv6XJ3w3AAABACOGAaCZ"
+OPENAI_KEY = "B1XyCaz87o456EVD949oODcGC8KTAEQsNLI7Yq5cnYKk41SMY9PtJQQJ99AKACHYHv6XJ3w3AAABACOGHD3K"
 DEPLOYMENT_ID = "gpt-4-rag-ak"
 
 # Function to Call Azure OpenAI API
@@ -32,11 +32,23 @@ def get_predefined_questions():
         "What is the scope of AI in engineering?",
         "What are the key highlights of the Master of Engineering Handbook?",
         "How to start a career in AI?",
-        "What is the CPT start date?"
+        "When will the CPT start date?",
     ]
 
 # Function to Process Query
 def process_query(question):
+    predefined_responses = {
+        "What are the career opportunities in AI?": "AI offers diverse opportunities in data science, machine learning engineering, robotics, and more.",
+        "What is the scope of AI in engineering?": "AI in engineering includes predictive maintenance, process optimization, and smart systems.",
+        "What are the key highlights of the Master of Engineering Handbook?": "The handbook highlights program structure, course requirements, and career support for MEng students.",
+        "How to start a career in AI?": "Starting a career in AI involves learning programming, data science, and machine learning frameworks.",
+        "When will the CPT start date?": "The CPT start date depends on the university's policy, typically after completing two full semesters. Please check your academic calendar or consult your university's DSO for accurate information.",
+    }
+
+    if question in predefined_responses:
+        return predefined_responses[question]
+
+    # Use Azure OpenAI for unlisted questions
     return call_openai_api(question)
 
 # Gradio UI