Streamlit app

app.py

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+################################
+# CONFIGURATION
+################################
+
+import streamlit as st
+import pandas as pd
+
+# -- FUNCTIONS --
+
+from functions.extract_usage import extract_usage
+from functions.necessity_index import compute_necessity 
+from functions.column_detection import detect_freeform_answer_col
+
+################################
+# APP SCRIPT
+################################
+
+st.title("Grant Applications Helper")
+
+uploaded_file = st.file_uploader("Upload grant applications file for analysis", type='csv')
+
+if uploaded_file is not None:
+    df = pd.read_csv(uploaded_file)
+
+    st.markdown("""
+    ### Data Preview
+    Here's the data you uploaded!
+    """
+                )
+
+    st.dataframe(df)
+
+    ## 0. PREPROCESSING
+
+    freeform_col = detect_freeform_answer_col(df) # <- detects the long-form column used for processing
+
+    docs = df[freeform_col].to_list()
+
+    ## 1. EXTRACT GRANT USAGE
+
+    extracted_usage = extract_usage(docs)
+