Fix startup: download only needed files, skip 1.35GB ONNX

app.py

@@ -7,11 +7,17 @@ from html.parser import HTMLParser
 import gradio as gr
 from adaptive_classifier import AdaptiveClassifier
 
-# Load model once at startup
+# 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)
+
 print("Loading model...")
-classifier = AdaptiveClassifier.from_pretrained(
-    "adaptive-classifier/ai-detector", use_onnx=False
-)
+classifier = AdaptiveClassifier.load(_tmp, use_onnx=False)
 print("Model loaded!")
 
 HEADERS = {