Messing with configuration.

app.py

@@ -95,7 +95,7 @@ classifier = pipeline(task="zero-shot-classification", model=model, tokenizer=to
 # onnx_few_shot_model = OnnxSetFitModel(ort_model, few_shot_tokenizer, few_shot_model.model_head)
 
 
-@spaces.GPU
+
 def classify(data_string, request: gradio.Request):
     if request:
         if request.headers["origin"] not in ["https://statosphere-3704059fdd7e.c5v4v4jx6pq5.win", "https://crunchatize-77a78ffcc6a6.c5v4v4jx6pq5.win", "https://crunchatize-2-2b4f5b1479a6.c5v4v4jx6pq5.win", "https://tamabotchi-2dba63df3bf1.c5v4v4jx6pq5.win", "https://ravenok-statosphere-backend.hf.space", "https://lord-raven.github.io"]:
@@ -106,6 +106,7 @@ def classify(data_string, request: gradio.Request):
     # else:
     return zero_shot_classification(data)
 
+@spaces.GPU
 def zero_shot_classification(data):
     results = classifier(data['sequence'], candidate_labels=data['candidate_labels'], hypothesis_template=data['hypothesis_template'], multi_label=data['multi_label'])
     response_string = json.dumps(results)