src/models.py

from openai import OpenAI
import anthropic
import os
from dotenv import load_dotenv
from huggingface_hub import HfApi;

from huggingface_hub import InferenceClient
# Load environment variables from .env file
load_dotenv(override=True)


# Initialize disguised API clients
openai = InferenceClient(model="mistralai/Mistral-7B-Instruct-v0.3", token=openai_api_key)
claude = InferenceClient(model="mistralai/Mistral-7B-Instruct-v0.3", token=anthropic_api_key)

def get_gpt_completion(prompt, system_message):
    try:
        response = openai.text_generation(prompt=f"{system_message}\n{prompt}", max_new_tokens=200)
        return response
    except Exception as e:
        print(f"GPT error: {e}")
        raise

def get_claude_completion(prompt, system_message):
    try:
        response = claude.text_generation(prompt=f"{system_message}\n{prompt}", max_new_tokens=200)
        return response
    except Exception as e:
        print(f"Claude error: {e}")
        raise