Update app.py

app.py

@@ -16,7 +16,9 @@ tokenizer = AutoTokenizer.from_pretrained(
 classifier = pipeline("text-classification", tokenizer=tokenizer, model=model, max_length=512,
                 padding=True, truncation=True, batch_size=1)
 
-def prozesatu(Testua):
+def prozesatu(Testua, request: gr.Request):
+    print(request.headers["Accept-Language"])
+    return request.headers["Accept-Language"]
     prediction = prozesatu.classifier(Testua)[0]
     if prediction["label"]=="GAI":
         return {"Gai":prediction["score"], "Ez gai": 1-prediction["score"]}