Spaces:
Sleeping
Sleeping
File size: 1,624 Bytes
9408139 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
import google.generativeai as genai
import streamlit as st
api_key = "AIzaSyDgxo89L20xCUoWUH3JfsH51ZTksest_jE"
genai.configure(api_key=api_key)
generation_config = {
"temperature": 1,
"top_p": 0.95,
"top_k": 64,
"max_output_tokens": 8192,
"response_mime_type": "text/plain",
}
model = genai.GenerativeModel(
model_name="gemini-1.5-flash",
generation_config=generation_config,
)
def generate_mcqs(prompt, grade, subject, subtopic, num_questions):
input_text = f"Generate {num_questions} multiple-choice questions on {subtopic} for grade {grade} in {subject}."
chat_session = model.start_chat(history=[])
response = chat_session.send_message(input_text)
return response.text
st.title("MCQ Generator with Google Generative AI")
st.sidebar.header("Configure the MCQ Generator")
grade = st.sidebar.selectbox("Select grade", ("Grade 1", "Grade 2", "Grade 3"))
subject = st.sidebar.selectbox("Select subject", ("Math", "Science", "English"))
subtopic = st.sidebar.text_input("Enter subtopic", "Fractions")
num_questions = st.sidebar.slider("Select number of questions", 1, 5)
prompt = st.text_input("Enter additional prompt", "")
if st.button("Generate MCQs"):
if num_questions < 1 or num_questions > 5:
st.error("Please select a number between 1 and 5.")
else:
try:
response = generate_mcqs(prompt, grade, subject, subtopic, num_questions)
st.success("Generated MCQs:")
st.write(response)
except Exception as e:
st.error(f"Error: {e}")
|