| import streamlit as st | |
| from transformers import pipeline | |
| pipe = pipeline("text-classification", model="ProsusAI/finbert") | |
| # Prompt the user to enter financial data, each line treated as a separate string | |
| text_input = st.text_area('Enter financial filing data (one entry per line)') | |
| if text_input: | |
| lines = text_input.strip().split("\n") # Split input by lines | |
| outputs = [pipe(line) for line in lines] # Process each line with the pipeline | |
| for line, out in zip(lines, outputs): # Display original lines and their corresponding output | |
| st.write(f"Text: {line}") | |
| st.json(out) | |