Trying zero-shot classification.

app.py

@@ -9,7 +9,7 @@ def zero_shot_classification(data_string):
     print(data)
     classifier = pipeline(task='zero-shot-classification', tokenizer=AutoTokenizer.from_pretrained('sileod/deberta-v3-base-tasksource-nli'), model='sileod/deberta-v3-base-tasksource-nli')
 
-    results = classifier("blah", candidate_labels=data.candidate_labels) #, hypothesis_template=data.hypothesis_template, multi_label=data.multi_label)
+    results = classifier(data['sequence'], candidate_labels=data['candidate_labels'], hypothesis_template=data['hypothesis_template'], multi_label=data['multi_label'])
     return {results}
 
 gradio_interface = gradio.Interface(