Update function.py

function.py

@@ -2,34 +2,45 @@ from langchain_community.llms import OpenAI
 from langchain_google_genai import ChatGoogleGenerativeAI
 import streamlit as st
 
-def GetLLMResponse(selected_topic_level, selected_topic,num_quizzes, model):
-    question_prompt = ('I want you to just generate question with this specification: Generate a {selected_topic_level} math quiz on the topic of {selected_topic}. Generate only {num_quizzes} questions not more and without providing answers.')
 
 
+def get_answers(questions,model):
+
+
+    answer_prompt = ( "I want you to become a teacher answer this specific Question:\n {questions}\n\n. You should gave me a straightforward and consise explanation and answer to each one of them")
+
+    
     if model == "Open AI":
         llm = OpenAI(temperature=0.7, openai_api_key=st.secrets["OPENAI_API_KEY"])
-        questions = [llm(question_prompt)]
+        answers = [llm(answer_prompt)]
         # return questions
         
     elif model == "Gemini":
         llm = ChatGoogleGenerativeAI(model="gemini-pro", google_api_key=st.secrets["GOOGLE_API_KEY"])
-        questions = [llm.invoke(question_prompt)]
+        answers = (llm.invoke(answer_prompt)).content
         # return questions.content
 
+    return(answers)    
 
-    answer_prompt = ( "I want you to become a teacher answer this specific Question:\n {questions}\n\n. You should gave me a straightforward and consise explanation and answer to each one of them")
 
+
+
+def GetLLMResponse(selected_topic_level, selected_topic,num_quizzes, model):
+    question_prompt = ('I want you to just generate question with this specification: Generate a {selected_topic_level} math quiz on the topic of {selected_topic}. Generate only {num_quizzes} questions not more and without providing answers.')
     
+
     if model == "Open AI":
         llm = OpenAI(temperature=0.7, openai_api_key=st.secrets["OPENAI_API_KEY"])
-        answers = [llm(answer_prompt)]
-        # return questions
+        questions = [llm(question_prompt)]
+        
         
     elif model == "Gemini":
         llm = ChatGoogleGenerativeAI(model="gemini-pro", google_api_key=st.secrets["GOOGLE_API_KEY"])
-        answers = [llm.invoke(answer_prompt)]
+        questions = (llm.invoke(question_prompt)).content
         # return questions.content
 
+    answers = get_answers(questions,model)
+    
 
     return(questions,answers)