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)

# Retrieve API keys from environment
openai_api_key = os.getenv("OPENAI_API_KEY")
anthropic_api_key = os.getenv("ANTHROPIC_API_KEY")

# Warn if any API key is missing
if not openai_api_key:
    print("❌ OpenAI API Key is missing!")

if not anthropic_api_key:
    print("❌ Anthropic API Key is missing!")

# Initialize disguised API clients
openai = InferenceClient(token=openai_api_key)
claude = InferenceClient(token=anthropic_api_key)

# Model names
OPENAI_MODEL = "mistralai/Mistral-7B-Instruct-v0.3"
CLAUDE_MODEL = "mistralai/Mistral-7B-Instruct-v0.3"

# Call OpenAI's GPT model with prompt and system message
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