Fix logging and numpy compatibility issues

app.py

@@ -5,6 +5,7 @@ from pydantic import BaseModel
 from transformers import T5Tokenizer, T5ForConditionalGeneration, AutoConfig
 import torch
 import os
+import sys
 import traceback
 from typing import Optional, Dict, Any
 from accelerate import Accelerator
@@ -12,16 +13,10 @@ import time
 import psutil
 from loguru import logger
 
-# Configure production logging
+# Configure production logging to stderr
 logger.remove()  # Remove default handler
 logger.add(
-    "app.log",
-    rotation="500 MB",
-    retention="10 days",
-    compression="zip",
-    backtrace=True,
-    diagnose=True,
-    enqueue=True,
+    sys.stderr,
     level="INFO",
     format="<green>{time:YYYY-MM-DD HH:mm:ss.SSS}</green> | <level>{level: <8}</level> | <cyan>{name}</cyan>:<cyan>{function}</cyan>:<cyan>{line}</cyan> - <level>{message}</level>"
 )

requirements.txt

@@ -5,6 +5,7 @@ uvicorn[standard]==0.27.0
 # ML Dependencies
 transformers==4.36.2
 torch==2.1.2
+numpy<2.0.0  # Pin numpy to 1.x for compatibility
 safetensors==0.4.1
 accelerate==0.25.0
 sentencepiece==0.1.99