Update app.py

app.py

@@ -7,9 +7,9 @@ tokenizer = AutoTokenizer.from_pretrained("FuriouslyAsleep/unhappyZebra100")
 
 model = AutoModelForSequenceClassification.from_pretrained("FuriouslyAsleep/unhappyZebra100")
 
-def greet(name):
+def greet(Doc_Passage_To_Test):
 
-    inputs = tokenizer(name, return_tensors="pt")
+    inputs = tokenizer(Doc_Passage_To_Test, return_tensors="pt")
     outputs = model(**inputs)
     
     predictions = torch.nn.functional.softmax(outputs.logits, dim=-1)