utilities/utils.py

import random
import numpy as np
import torch
import os

def set_seed(seed_value=42):
    # Set a seed for reproducibility.
    random.seed(seed_value)
    np.random.seed(seed_value)
    torch.manual_seed(seed_value)
    if torch.cuda.is_available():
        torch.cuda.manual_seed_all(seed_value) 

def init_qwen_api():
    # Set up the API configuration for Qwen.
    api_key = os.environ.get("QWEN_API_KEY")
    
    if not api_key:
        # Fallback for local testing if env var is missing
        api_key = "6e3def45d61b0b20547a1fcbab6464d8"
        
    return {
        "api_key": api_key,
        "api_endpoint": "https://chat-ai.academiccloud.de/v1",
        "model": "qwen2.5-vl-72b-instruct"
    }