Upload app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+from transformers import pipeline
+
+model = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
+
+
+def predict(field_name, property_list):
+    properties = property_list.split(",")
+    results = model(field_name, properties)
+    top_results = []
+    for i, result in enumerate(results["labels"]):
+        if i < 10:
+            top_results.append(f"{result}: {results['scores'][i]}")
+    return results["labels"][0], "\n".join(top_results)
+
+
+demo = gr.Interface(
+    fn=predict, inputs=["text", "textarea"], outputs=["text", "textarea"]
+)
+
+demo.launch()