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Create app.py
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app.py
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import streamlit as st
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from transformers import pipeline
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# model=ProsusAI/finbert
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pipe = pipeline("text-classification", model="distilbert-base-uncased-finetuned-sst-2-english")
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# Prompt the user to enter financial data, each line treated as a separate string
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text_input = st.text_area('Enter financial filing data (one entry per line)')
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if text_input:
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lines = text_input.strip().split("\n") # Split input by lines
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outputs = [pipe(line) for line in lines] # Process each line with the pipeline
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for line, out in zip(lines, outputs): # Display original lines and their corresponding output
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st.write(f"Text: {line}")
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st.json(out)
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