changed the missplelling and made the model gradients in active

app.py

@@ -1,18 +1,20 @@
-from transformers import AutoTokenizer,AutoModelForSequenceClassification
+from transformers import AutoModelForSequenceClassification,AutoTokenizer
 import gradio as gr
 
 model_name="nebiyu29/hate_classifier"
-tokenizer=AuotoTokenizer.from_pretrained(model_name)
+tokenizer=AutoTokenizer.from_pretrained(model_name)
 model=AutoModelfForSequenceClassification.from_pretrained(model_name)
 
-#this where the model is active
-def model_classifier(text):
-    if len(text)==0:
-        return f"the input text is {text}"
-    else:
-        encoded_input=tokenizer(text) #this is where the encoding happens
-        scores=model(encoded)  #this is is the score for rach values
-        return scores
+#this where the model is active and we need to make the gradiends in active
+model.eval()
+with torch.no_grad():
+    def model_classifier(text):
+        if len(text)==0:
+            return f"the input text is {text}"
+        else:
+            encoded_input=tokenizer(text) #this is where the encoding happens
+            scores=model(encoded)  #this is is the score for rach values
+            return scores