Upload app.py

app.py

@@ -9,7 +9,7 @@ import torch.nn.functional as F
 from flask import Flask, request, jsonify, Response
 from transformers import AutoTokenizer, AutoModelForMaskedLM, AutoModelForCausalLM, TextIteratorStreamer
 from threading import Thread
-from flask import send_from_directory
+from flask import redirect, send_from_directory
 
 # 1. Environment Parsing & Architecture Strategy Mapping
 MODEL_NAME = os.getenv("MODEL_NAME", "dllm-hub/Qwen3-0.6B-diffusion-bd3lm-v0.1")