Revert to simple from_pretrained, ONNX files removed from model repo

app.py

@@ -7,17 +7,11 @@ from html.parser import HTMLParser
 import gradio as gr
 from adaptive_classifier import AdaptiveClassifier
 
-# Load model once at startup — download only needed files (skip 1.35GB ONNX)
-print("Downloading model...")
-from huggingface_hub import hf_hub_download
-import os, tempfile
-
-_tmp = tempfile.mkdtemp()
-for f in ["config.json", "examples.json", "model.safetensors"]:
-    hf_hub_download("adaptive-classifier/ai-detector", f, local_dir=_tmp)
-
+# Load model once at startup
 print("Loading model...")
-classifier = AdaptiveClassifier.load(_tmp, use_onnx=False)
+classifier = AdaptiveClassifier.from_pretrained(
+    "adaptive-classifier/ai-detector", use_onnx=False
+)
 print("Model loaded!")
 
 HEADERS = {