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import requests
import gradio as gr
from helper import generate_access_token
def generate_mcq_questions(grade, board, subject, topics, number_of_questions, multiple_answer, single_answer,
easy, medium, hard, remember, understand, apply, analyze, evaluate, create,
hint, curricular_goal, competency, lo, lob, difficulty_level, bloom_taxonomy,
solution_sheet):
data = {
"institution_id": "string",
"teacher_id": "string",
"board": board,
"grade": grade,
"subject": subject,
"topics": topics.split(", "),
"number_of_questions": number_of_questions,
"question_type_distribution_percentage": {
"multiple_answer": multiple_answer,
"single_answer": single_answer,
},
"difficulty_distribution_percentage": {
"easy": easy,
"medium": medium,
"hard": hard
},
"blooms_taxonomy_distribution_percentage": {
"Remember": remember,
"Understand": understand,
"Apply": apply,
"Analyze": analyze,
"Evaluate": evaluate,
"Create": create
},
"question_tagging_options": {
"Hint": hint,
"Curricular_Goal": curricular_goal,
"Competency": competency,
"LO": lo,
"LOB": lob,
"Difficulty_level": difficulty_level,
"Bloom_Taxonomy": bloom_taxonomy
},
"solution_sheet": solution_sheet
}
print(data)
access_token = generate_access_token()
if access_token is None:
return {"Error": "Failed to generate access token"}
response = requests.post("http://20.193.151.200:8080/v1/k12/generate/mcqs",
headers={
"accept": "application/json",
"content-type": "application/json",
"Authorization": f"{access_token}"},
json=data)
if(str(response.status_code)[0] != '2'):
return {"Error": f"{response.status_code}"}
return response.json()
def get_mcq_questions(request_id):
access_token = generate_access_token()
if access_token is None:
return {"Error": "Failed to generate access token"}
url = f"http://20.193.151.200:8080/v1/k12/generate/mcqs/{request_id}"
headers = {"accept": "application/json",
"Authorization": access_token}
response = requests.get(url, headers=headers)
if response.status_code == 200:
return response.json()
else:
return {"Error" : f"{response.status_code}"}
def post_interface():
with gr.Blocks() as post_page:
grade = gr.Textbox(label="Grade", value="6")
board = gr.Textbox(label="Board", value="NCERT")
subject = gr.Textbox(label="Subject", value="Science")
topics = gr.Textbox(label="Topics (comma-separated)", value="Light")
number_of_questions = gr.Number(label="Number of Questions", value=20)
gr.Markdown("## Question Type (Multiple Answer, Single Answer) - Absolute")
with gr.Row():
with gr.Column():
multiple_answer = gr.Number(label="Multiple Answer Questions", minimum=0, maximum=100, value=0)
with gr.Column():
single_answer = gr.Number(label="Single Answer Questions", minimum=0, maximum=100, value=0)
# easy = gr.Slider(label="Easy Questions (%)", minimum=0, maximum=100, value=0)
# medium = gr.Slider(label="Medium Questions (%)", minimum=0, maximum=100, value=0)
# hard = gr.Slider(label="Hard Questions (%)", minimum=0, maximum=100, value=0)
gr.Markdown("## Difficulty Distribution (easy, medium, hard) - Percentage")
# Difficulty Distribution (easy, medium, hard)
with gr.Row():
with gr.Column():
easy = gr.Number(label="Easy", minimum=0, maximum=100, value=0)
with gr.Column():
medium = gr.Number(label="Medium", minimum=0, maximum=100, value=0)
with gr.Column():
hard = gr.Number(label="Hard", minimum=0, maximum=100, value=0)
# remember = gr.Slider(label="Remember (%)", minimum=0, maximum=100, value=0)
# understand = gr.Slider(label="Understand (%)", minimum=0, maximum=100, value=0)
# apply = gr.Slider(label="Apply (%)", minimum=0, maximum=100, value=0)
# analyze = gr.Slider(label="Analyze (%)", minimum=0, maximum=100, value=0)
# evaluate = gr.Slider(label="Evaluate (%)", minimum=0, maximum=100, value=0)
# create = gr.Slider(label="Create (%)", minimum=0, maximum=100, value=0)
gr.Markdown("## Bloom Taxonomy Distribution (Remember, Understand, Apply, Analyze, Evaluate, Create) - Percentage")
# Bloom Taxonomy Distribution (Remember, Understand, Apply, Analyze, Evaluate, Create)
with gr.Row():
with gr.Column():
remember = gr.Number(minimum=0, maximum=100, step=1, label="Remember", value=0)
with gr.Column():
understand = gr.Number(minimum=0, maximum=100, step=1, label="Understand", value=0)
with gr.Column():
apply = gr.Number(minimum=0, maximum=100, step=1, label="Apply", value=0)
with gr.Row():
with gr.Column():
analyze = gr.Number(minimum=0, maximum=100, step=1, label="Analyze", value=0)
with gr.Column():
evaluate = gr.Number(minimum=0, maximum=100, step=1, label="Evaluate", value=0)
with gr.Column():
create = gr.Number(minimum=0, maximum=100, step=1, label="Create", value=0)
hint = gr.Radio(label="Hint", choices=["Yes", "No"], value="No")
curricular_goal = gr.Radio(label="Curricular Goal", choices=["Yes", "No"], value="No")
competency = gr.Radio(label="Competency", choices=["Yes", "No"], value="No")
lo = gr.Radio(label="LO", choices=["Yes", "No"], value="No")
lob = gr.Radio(label="LOB", choices=["Yes", "No"], value="No")
difficulty_level = gr.Radio(label="Difficulty Level", choices=["Yes", "No"], value="No")
bloom_taxonomy = gr.Radio(label="Bloom Taxonomy", choices=["Yes", "No"], value="No")
solution_sheet = gr.Radio(label="Solution Sheet", choices=["Yes", "No"], value="Yes")
submit_button = gr.Button("Invoke Request")
submit_button.click(generate_mcq_questions,
inputs= [grade, board, subject, topics, number_of_questions, multiple_answer, single_answer,
easy, medium, hard, remember, understand, apply, analyze, evaluate, create,
hint, curricular_goal, competency, lo, lob, difficulty_level, bloom_taxonomy,
solution_sheet],
outputs=gr.JSON())
return post_page
def get_interface():
with gr.Blocks() as get_page:
interface = gr.Interface(
fn=get_mcq_questions,
inputs=gr.Textbox(label="Enter Request ID"),
outputs="json",
)
return get_page
def mcq_generation():
gr.Markdown("# MCQ Generation")
with gr.Blocks() as mcq_generation:
with gr.Tabs():
with gr.TabItem("POST"):
post_interface()
with gr.TabItem("GET"):
get_interface()
return mcq_generation |