Add application file

app.py

@@ -0,0 +1,37 @@
+import streamlit as st
+import pandas as pd
+from transformers import pipeline
+
+st.set_page_config(page_title="Zero-shot classification from tabular data", page_icon=None, layout="wide", initial_sidebar_state="auto", menu_items=None)
+
+classifier = pipeline("zero-shot-classification", model="typeform/distilbert-base-uncased-mnli")
+
+st.title("Zero-shot classification from tabular data")
+st.text("Upload a table and perform zero-shot classification on a set of custom labels")
+
+data = st.file_uploader("Upload Excel file:")
+labels = st.text_input("Enter comma-separated labels:")
+
+if st.button("Calculate labels"):
+
+    try:
+        labels_list = labels.split(",")
+        table = pd.read_excel(data)
+        table = table.loc[table["text"].apply(len) > 10].reset_index(drop=True).head(50)
+
+        prog_bar = st.progress(0)
+        preds = []
+
+        for i in range(len(table)):
+            preds.append(classifier(table.loc[i, "text"], labels)["labels"][0])
+            prog_bar.progress((i + 1)/len(table))
+
+        table["label"] = preds
+
+        st.table(table[["text", "label"]])
+
+    except:
+        st.error("File load didn't work. Make sure you upload a file containing a `text` column and a set of comma-separated labels is provided")
+
+        
+