Update app.py

app.py

@@ -2,16 +2,16 @@ import gradio as gr
 from transformers import pipeline
 
 classifier = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
-output = {}
 
 def zeroShotClassification(text_input, candidate_labels):
   labels = [label.strip(' ') for label in candidate_labels.split(',')]
+  output = {}
   prediction = classifier(text_input, labels)
   for i in range(len(prediction['labels'])):
     output[prediction['labels'][i]] = prediction['scores'][i]
   return output
 
-examples = [["One day I will see the world", "travel, cooking, dancing"]]
+examples = [["One day I will see the world", "travel, live, die, future"]]
 
 demo = gr.Interface(fn=zeroShotClassification, inputs=["text", "text"], outputs="label", title="Text Classification", examples=examples)
 demo.launch()