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Streamlit.py
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import json
import traceback
import pandas as pd
from src.mcqgen.utils import read_file, get_table_data
from src.mcqgen.logger import logging
from src.mcqgen.MCQGen import generate_evaluate_chain
import streamlit as st
# load JSON
with open("./res.json", "r") as file:
RESPONSE_JSON = json.load(file)
st.title("MCQ Generator")
with st.form("user_inputs"):
file = st.file_uploader("Upload a PDF or TXT file")
mcq_count = st.number_input("Number of MCQs", min_value=3, max_value=25)
sub = st.text_input("Subject Name", max_chars=20)
tone = st.text_input("Tone of Questions", max_chars=10, placeholder="Simple")
button = st.form_submit_button("Generate MCQs")
if button and file is not None and mcq_count and sub and tone:
with st.spinner("Generating"):
try:
text = read_file(file)
response = generate_evaluate_chain(
{
"text": text,
"number": mcq_count,
"subject": sub,
"tone": tone,
"response_json": json.dumps(RESPONSE_JSON),
}
)
except Exception as e:
traceback.print_exception(type(e), e, e.__traceback__)
st.error("Error")
else:
if isinstance(response, dict):
# Extract the quiz data from the response
quiz = response.get("quiz", None)
if quiz is not None:
table_data = get_table_data(quiz)
if table_data is not None:
df = pd.DataFrame(table_data)
df.index = df.index + 1
st.table(df)
# Display the review in atext box as well
st.text_area(label="Review", value=response["review"])
else:
st.error("Error in the table data")
else:
st.write("response")