Instructions to use Subject-Emu-5259/NeuralAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Subject-Emu-5259/NeuralAI with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| import os | |
| import shutil | |
| import json | |
| from pathlib import Path | |
| from flask import Flask, request, jsonify, send_from_directory | |
| from datetime import datetime | |
| app = Flask(__name__) | |
| # Config | |
| STORAGE_ROOT = Path("/home/workspace/Projects/NeuralAI/storage") | |
| STORAGE_ROOT.mkdir(parents=True, exist_ok=True) | |
| PORT = int(os.environ.get("STORAGE_PORT", "7003")) | |
| def get_file_info(path: Path): | |
| stat = path.stat() | |
| return { | |
| "name": path.name, | |
| "is_dir": path.is_dir(), | |
| "size": stat.st_size if path.is_file() else 0, | |
| "modified": datetime.fromtimestamp(stat.st_mtime).isoformat(), | |
| "extension": path.suffix[1:] if path.is_file() else "" | |
| } | |
| def list_storage(): | |
| rel_path = request.args.get("path", "") | |
| target = (STORAGE_ROOT / rel_path).resolve() | |
| # Security check: ensure path is within STORAGE_ROOT | |
| if not str(target).startswith(str(STORAGE_ROOT)): | |
| return jsonify({"error": "Unauthorized path"}), 403 | |
| if not target.exists(): | |
| return jsonify({"error": "Path not found"}), 404 | |
| items = [] | |
| for item in target.iterdir(): | |
| if item.name.startswith("."): continue | |
| items.append(get_file_info(item)) | |
| # Sort: directories first, then alphabetical | |
| items.sort(key=lambda x: (not x["is_dir"], x["name"].lower())) | |
| return jsonify({ | |
| "path": rel_path, | |
| "items": items | |
| }) | |
| def upload_file(): | |
| rel_path = request.args.get("path", "") | |
| target_dir = (STORAGE_ROOT / rel_path).resolve() | |
| if not str(target_dir).startswith(str(STORAGE_ROOT)): | |
| return jsonify({"error": "Unauthorized path"}), 403 | |
| if 'file' not in request.files: | |
| return jsonify({"error": "No file part"}), 400 | |
| file = request.files['file'] | |
| if file.filename == '': | |
| return jsonify({"error": "No selected file"}), 400 | |
| target_dir.mkdir(parents=True, exist_ok=True) | |
| file_path = target_dir / file.filename | |
| file.save(str(file_path)) | |
| return jsonify({"success": True, "info": get_file_info(file_path)}) | |
| def make_dir(): | |
| data = request.get_json() or {} | |
| rel_path = data.get("path", "") | |
| target = (STORAGE_ROOT / rel_path).resolve() | |
| if not str(target).startswith(str(STORAGE_ROOT)): | |
| return jsonify({"error": "Unauthorized path"}), 403 | |
| target.mkdir(parents=True, exist_ok=True) | |
| return jsonify({"success": True}) | |
| def delete_item(): | |
| rel_path = request.args.get("path", "") | |
| target = (STORAGE_ROOT / rel_path).resolve() | |
| if not str(target).startswith(str(STORAGE_ROOT)): | |
| return jsonify({"error": "Unauthorized path"}), 403 | |
| if not target.exists(): | |
| return jsonify({"error": "Not found"}), 404 | |
| if target.is_dir(): | |
| shutil.rmtree(target) | |
| else: | |
| target.unlink() | |
| return jsonify({"success": True}) | |
| def download_file(): | |
| rel_path = request.args.get("path", "") | |
| target = (STORAGE_ROOT / rel_path).resolve() | |
| if not str(target).startswith(str(STORAGE_ROOT)) or target.is_dir(): | |
| return jsonify({"error": "Unauthorized path"}), 403 | |
| return send_from_directory(target.parent, target.name) | |
| def search_files(): | |
| query = request.args.get("q", "").lower() | |
| if not query: return jsonify([]) | |
| results = [] | |
| for p in STORAGE_ROOT.rglob("*"): | |
| if p.name.startswith("."): continue | |
| if query in p.name.lower(): | |
| results.append({ | |
| "name": p.name, | |
| "path": str(p.relative_to(STORAGE_ROOT)), | |
| "is_dir": p.is_dir() | |
| }) | |
| return jsonify(results[:50]) | |
| def health(): | |
| return jsonify({"status": "ready", "service": "NeuralStorage"}) | |
| if __name__ == "__main__": | |
| print(f"NeuralAI Storage Service starting on port {PORT}...") | |
| app.run(host="0.0.0.0", port=PORT, debug=False, threaded=True) | |