Fix PyTorch Docker uid error - set USER env var before imports

app.py

@@ -3,6 +3,13 @@ FastAPI REST API for Foundation 1.2 Clinical Trial System
 Production-ready Docker space with proper REST endpoints
 """
 
+# Fix for PyTorch/Docker uid issue - must be before any torch imports
+import os
+os.environ["USER"] = "user"
+os.environ["TORCH_HOME"] = "/tmp/torch"
+os.environ["HF_HOME"] = "/tmp/huggingface"
+os.environ["TRANSFORMERS_CACHE"] = "/tmp/transformers"
+
 from fastapi import FastAPI, HTTPException
 from fastapi.middleware.cors import CORSMiddleware
 from pydantic import BaseModel

foundation_engine.py

@@ -3,8 +3,14 @@ Foundation 1.2
 Clinical trial query system with 355M foundation model
 """
 
-import gradio as gr
+# Fix for PyTorch/Docker uid issue - must be before any torch imports
 import os
+os.environ["USER"] = "user"
+os.environ["TORCH_HOME"] = "/tmp/torch"
+os.environ["HF_HOME"] = "/tmp/huggingface"
+os.environ["TRANSFORMERS_CACHE"] = "/tmp/transformers"
+
+import gradio as gr
 from pathlib import Path
 import pickle
 import numpy as np

two_llm_system_FIXED.py

@@ -4,6 +4,13 @@ Works with existing data structure: List[Tuple[int, str]]
 Keeps BM25 + semantic hybrid search intact
 """
 
+# Fix for PyTorch/Docker uid issue - must be before any torch imports
+import os
+os.environ.setdefault("USER", "user")
+os.environ.setdefault("TORCH_HOME", "/tmp/torch")
+os.environ.setdefault("HF_HOME", "/tmp/huggingface")
+os.environ.setdefault("TRANSFORMERS_CACHE", "/tmp/transformers")
+
 import torch
 from transformers import GPT2LMHeadModel, GPT2TokenizerFast, AutoTokenizer, AutoModelForCausalLM
 import logging