Delete demo.py

demo.py

@@ -1,21 +0,0 @@
-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()