Update app.py

app.py

@@ -6,8 +6,8 @@ OPENAI_ENDPOINT = "https://rag-openai-service-ak.openai.azure.com/"
 OPENAI_KEY = "B1XyCaz87o456EVD949oODcGC8KTAEQsNLI7Yq5cnYKk41SMY9PtJQQJ99AKACHYHv6XJ3w3AAABACOGAaCZ"
 DEPLOYMENT_ID = "gpt-4-rag-ak"
 
+# Function to Call Azure OpenAI API
 def call_openai_api(prompt):
-    """Call the Azure OpenAI API with the provided prompt."""
     url = f"{OPENAI_ENDPOINT}openai/deployments/{DEPLOYMENT_ID}/completions?api-version=2023-05-15"
     headers = {
         "Content-Type": "application/json",
@@ -18,8 +18,8 @@ def call_openai_api(prompt):
         "max_tokens": 500,
         "temperature": 0.7
     }
-
     response = requests.post(url, headers=headers, json=data)
+
     if response.status_code != 200:
         return f"Error: {response.status_code} - {response.text}"
 
@@ -32,16 +32,11 @@ 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?",
-        "What skills are required for a career in AI?",
-        "How does the Master of Engineering program support career growth?",
-        "What industries use AI extensively?",
-        "How can I learn machine learning?",
-        "What are the ethical concerns in AI?"
+        "What is the CPT start date?"
     ]
 
+# Function to Process Query
 def process_query(question):
-    """Process the query and return the response from Azure OpenAI."""
     return call_openai_api(question)
 
 # Gradio UI
@@ -63,4 +58,4 @@ def main():
     demo.launch()
 
 if __name__ == "__main__":
-    main()
+    main()