Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 
 from transformers import AutoModel, pipeline, AutoTokenizer, AutoModelForSequenceClassification
 
-access_token = "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"
+access_token = os.environ['ACCES_TOKEN']
 
 model = AutoModelForSequenceClassification.from_pretrained("EkhiAzur/RoBERTA_3", token=access_token)
 
@@ -22,7 +22,6 @@ def prozesatu(Testua, request: gr.Request):
         return {"Gai":prediction["score"], "Ez gai": 1-prediction["score"]}
     else:
         return {"Gai":1-prediction["score"], "Ez gai": prediction["score"]}
-    #return 'C1:{}. Probabilitatea:{:.2f}'.format(prediction["label"], round(prediction["score"], 2))
 
 prozesatu.classifier = classifier