Spaces:
Build error
Build error
File size: 3,650 Bytes
36eb7b3 |
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 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 |
import streamlit as st
import pandas as pd
from datetime import datetime
csv_file_path = "questions.csv"
def load_questions():
try:
return pd.read_csv(csv_file_path, converters={'Answers': eval})
except FileNotFoundError:
return pd.DataFrame(columns=['Question', 'Upvotes', 'Downvotes', 'Answers'])
def save_data_to_csv(df):
df.to_csv(csv_file_path, index=False)
def upvote_question(index, questions_df):
questions_df.at[index, 'Upvotes'] += 1
save_data_to_csv(questions_df)
def downvote_question(index, questions_df):
questions_df.at[index, 'Downvotes'] += 1
save_data_to_csv(questions_df)
def add_answer(index, answer, questions_df):
questions_df.at[index, 'Answers'].append(answer)
save_data_to_csv(questions_df)
st.success("Answer posted successfully!")
def display_question_with_answers(index, question, upvotes, downvotes, answers, questions_df):
st.markdown(f"<h3 style='color:darkblue;'>{index + 1}. {question}</h3>", unsafe_allow_html=True)
st.markdown(f"👍 **{upvotes}** 👎 **{downvotes}**")
st.markdown("**Answers:**")
if answers:
for ans in answers:
st.markdown(f"- {ans}")
else:
st.markdown("- No answers yet.")
st.markdown('---')
col1, col2 = st.columns([1, 10])
with col1:
upvote_button = st.button(label="👍", key=f'upvote_{index}')
with col2:
downvote_button = st.button(label="👎", key=f'downvote_{index}')
if upvote_button:
upvote_question(index, questions_df)
if downvote_button:
downvote_question(index, questions_df)
answer_key = f'answer_{index}_{datetime.now().strftime("%Y%m%d%H%M%S")}'
answer = st.text_area(label="Your Answer:", key=answer_key)
answer_button = st.button(label="Post Answer", key=f'post_answer_{index}')
if answer_button and answer:
add_answer(index, answer, questions_df)
questions_df = load_questions()
st.markdown(f"- {answer}", unsafe_allow_html=True)
def main():
st.title("Teaching Q&A Forum")
st.markdown("***")
questions_df = load_questions()
st.sidebar.header("Post a New Question")
new_question = st.sidebar.text_area(label="Enter your question here:", height=100)
post_question_button = st.sidebar.button(label="Post Question")
if post_question_button and new_question:
new_row = pd.DataFrame({'Question': [new_question], 'Upvotes': [0], 'Downvotes': [0], 'Answers': [[]]})
questions_df = pd.concat([questions_df, new_row], ignore_index=True)
save_data_to_csv(questions_df)
st.sidebar.success("Question posted successfully!")
st.header("Existing Questions")
for i, row in questions_df.iterrows():
display_question_with_answers(i, row['Question'], row['Upvotes'], row['Downvotes'], row['Answers'], questions_df)
existing_question_index = st.sidebar.selectbox("Select a question to answer:", questions_df.index.tolist())
answer_key = f'answer_{existing_question_index}'
answer_to_existing_question = st.sidebar.text_area(label="Your Answer:", key=answer_key)
post_answer_to_existing_question_button = st.sidebar.button(label="Post Answer", key=f'post_answer_to_existing_question_{existing_question_index}')
if post_answer_to_existing_question_button and answer_to_existing_question:
add_answer(existing_question_index, answer_to_existing_question, questions_df)
questions_df = load_questions()
if __name__ == "__main__":
main()
|