Create app.py

app.py

@@ -0,0 +1,12 @@
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+import torch
+
+def predict(text):
+    tokenizer = AutoTokenizer.from_pretrained("username/model_name")
+    model = AutoModelForSequenceClassification.from_pretrained("username/model_name")
+
+    inputs = tokenizer(text, return_tensors="pt")
+    with torch.no_grad():
+        logits = model(**inputs).logits
+    predicted_class_id = logits.argmax().item()
+    return predicted_class_id