Delete bootstrap.py

bootstrap.py

@@ -1,57 +0,0 @@
-#!/usr/bin/env python3
-# Bootstrap file for SEEM on Hugging Face Spaces
-
-import os
-import sys
-import subprocess
-
-print("Setting up SEEM environment...")
-
-# Install detectron2 first (before other imports)
-print("Installing detectron2...")
-os.system("pip install -q git+https://github.com/MaureenZOU/detectron2-xyz.git")
-
-# Set Python path to include the repository root
-os.environ["PYTHONPATH"] = os.getcwd()
-print(f"Set PYTHONPATH to: {os.getcwd()}")
-
-# Create a patched version of app.py with CPU support
-app_path = "app.py"
-app_patched_path = "app_patched.py"
-
-with open(app_path, "r") as f:
-    app_code = f.read()
-
-# Replace the device setup code to work with either CPU or GPU
-app_code = app_code.replace(
-    "model = BaseModel(opt, build_model(opt)).from_pretrained(pretrained_pth).eval().cuda()",
-    "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n"
-    "print(f\"Using device: {device}\")\n"
-    "model = BaseModel(opt, build_model(opt)).from_pretrained(pretrained_pth).eval().to(device)"
-)
-
-# Replace the inference function to handle both CPU and GPU
-app_code = app_code.replace(
-    "@torch.no_grad()\ndef inference(image, task, *args, **kwargs):\n    with torch.autocast(device_type='cuda', dtype=torch.float16):",
-    "@torch.no_grad()\ndef inference(image, task, *args, **kwargs):\n    if torch.cuda.is_available():\n        with torch.autocast(device_type='cuda', dtype=torch.float16):"
-)
-
-# Add CPU fallback to the inference function
-app_code = app_code.replace(
-    "        if 'Video' in task:\n            return interactive_infer_video(model, audio, image, task, *args, **kwargs)\n        else:\n            return interactive_infer_image(model, audio, image, task, *args, **kwargs)",
-    "        if 'Video' in task:\n            return interactive_infer_video(model, audio, image, task, *args, **kwargs)\n        else:\n            return interactive_infer_image(model, audio, image, task, *args, **kwargs)\n    else:\n        # Run without autocast on CPU\n        if 'Video' in task:\n            return interactive_infer_video(model, audio, image, task, *args, **kwargs)\n        else:\n            return interactive_infer_image(model, audio, image, task, *args, **kwargs)"
-)
-
-# Also fix example paths if they include demo/seem prefix
-if "demo/seem/examples/" in app_code:
-    app_code = app_code.replace(
-        "\"demo/seem/examples/",
-        "\"examples/"
-    )
-
-with open(app_patched_path, "w") as f:
-    f.write(app_code)
-
-# Run the patched app
-print("Starting SEEM demo...")
-os.system(f"python {app_patched_path}")