Update app.py

app.py

@@ -5,24 +5,22 @@ from flask import Flask, request, jsonify
 from diffusers import StableDiffusionPipeline  # Placeholder; adjust based on SF3D docs
 from PIL import Image
 import logging
-import os
-from huggingface_hub import HfFolder
 
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 
 app = Flask(__name__)
 
-# Load the model once at startup (on CPU) with authentication
+# Load the model once at startup (on CPU) with token in code
 try:
     logger.info("Loading Stable Fast 3D pipeline...")
-    # Use your Hugging Face token (set as environment variable or hardcoded for testing)
-    token = os.getenv("HF_TOKEN") or "your_hf_token_here"  # Replace with your token
+    # Replace 'your_hf_token_here' with your actual Hugging Face token
+    token = "your_hf_token_here"  # Hardcoded token for authentication
     pipe = StableDiffusionPipeline.from_pretrained(
         "stabilityai/stable-fast-3d",
         torch_dtype=torch.float32,
         cache_dir="/tmp/hf_home",
-        token=token,  # Pass token for authentication
+        token=token,  # Pass token directly
     )
     pipe.to("cpu")
     logger.info("=== Application Startup at CPU mode =====")