import streamlit as st
from data_preprocessing import preprocess_csv
from question_answering import answer_query

# Streamlit app
st.title("Question Answering App")

# Textbox for user query
user_query = st.text_input("Enter your question:")

# File uploader for context (Hugging Face specific)
uploaded_file = st.file_uploader("Upload a CSV file from Hugging Face Hub:", type="text")

if uploaded_file is not None:
  # Extract file URL
  file_url = uploaded_file.url

  # Preprocess the CSV data
  context = preprocess_csv(file_url)
else:
  # Use default context (optional)
  context = "This is a sample context for demonstration purposes. You can upload your own text file or CSV file for context."

# Answer the query if a question is provided
if user_query:
  answer = answer_from_csv(user_query, context)
  st.write(f"Answer: {answer}")
else:
  st.write("Please enter a question.")