makeing the first interface

app.py

@@ -0,0 +1,27 @@
+from transformers import AuotoTokenizer,AutoModelForSequenceClassification
+import gradio as gr
+
+model_name="nebiyu29/hate_classifier"
+tokenizer=AuotoTokenizer.from_pretrained(model_name)
+model=AutoModelfForSequenceClassification.from_pretrained(model_name)
+
+#this where the model is active
+def model_classifier(text):
+    if text is "":
+        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
+
+
+
+
+#lets write something that accepts input as text and returns the most likely out come out of 3
+demo=gr.Interface(
+    fn=model_classifier,
+    inputs=gr.Textbox(lines=5,label="Enter you text"),
+    outputs=gr.Textbox(lines=5,label="Label scores"),
+    title="Hate Classifier Demo App"
+)
+demo.launch()