Update app.py

app.py

@@ -2,8 +2,14 @@ import streamlit as st
 from transformers import pipeline
 
 pipe = pipeline("text-classification", model="ProsusAI/finbert")
-text = st.text_area('enter some financial filing data!')
 
-if text:
-    out = pipe(text)
-    st.json(out)
+# 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)