Update function.py

function.py

@@ -26,24 +26,27 @@ def get_answers(questions,model):
 
 
 
-def GetLLMResponse(selected_topic_level, selected_topic, num_quizzes, selected_Question_Difficulty, selected_level, model):
-    question_prompt = (f'You are an AI interview assistant that helps generate customized interview questions for various technical and non-technical roles. Your task is to create a set of interview questions based on the {selected_topic_level} and topic : {selected_topic}.Ensure the questions match the indicated level of understanding:{selected_level} and difficulty:{selected_Question_Difficulty}. Generate only {num_quizzes} questions and give it in a python list with variable name question_list')
-    
-    
-    if model == "Open AI":
-        llm = OpenAI(temperature=0.7, openai_api_key=st.secrets["OPENAI_API_KEY"])
-        questions = llm(question_prompt)
-        
-        
-    elif model == "Gemini":
-        llm = ChatGoogleGenerativeAI(model="gemini-pro", google_api_key=st.secrets["GOOGLE_API_KEY"])
-        questions = llm.invoke(question_prompt)
-        questions = questions.content
-        # return questions.content
+def GetLLMResponse(selected_topic_level, selected_topic, selected_Question_Difficulty, selected_level, model):
 
-    # answers = "testing"
 
-    answers = get_answers(questions,model)
+    for i in range(num_quizzes):
+        question_prompt = (f'You are an AI interview assistant that helps generate customized interview questions for various technical and non-technical roles. Your task is to create a set of interview questions based on the {selected_topic_level} and topic : {selected_topic}.Ensure the questions match the indicated level of understanding:{selected_level} and difficulty:{selected_Question_Difficulty}. Generate only 1 question.')
+        
+        
+        if model == "Open AI":
+            llm = OpenAI(temperature=0.7, openai_api_key=st.secrets["OPENAI_API_KEY"])
+            questions = llm(question_prompt)
+            
+            
+        elif model == "Gemini":
+            llm = ChatGoogleGenerativeAI(model="gemini-pro", google_api_key=st.secrets["GOOGLE_API_KEY"])
+            questions = llm.invoke(question_prompt)
+            questions = questions.content
+            # return questions.content
+    
+        # answers = "testing"
+    
+        answers = get_answers(questions,model)
     
 
     return(questions,answers)