Create app.py

app.py

@@ -0,0 +1,19 @@
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+import gradio as gr
+
+model_name = "MegaTronX/Llama-3.2-1B-Instruct-Selectolax-QLoRA"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSequenceClassification.from_pretrained(model_name, from_tf=False)
+
+def predict(text):
+    inputs = tokenizer(text, return_tensors="pt")
+    outputs = model(**inputs)
+    return outputs.logits.argmax().item()
+
+demo = gr.Interface(
+    fn=predict, 
+    inputs="text", 
+    outputs="label"
+)
+
+demo.launch()