LLM.py

from openai import OpenAI
import os
import pandas as pd
import google.generativeai as genai
import requests

def zero_shot(model_series, model_name, content):

    if model_series in ['gpt', 'gemini', 'claude']:
        api_key = os.environ.get("OPENAI_API_KEY")
    elif model_series in ['deepSeek', 'qwen', 'llama']:
        api_key = os.environ.get("DEEPSEEK_API_KEY")
    else:
        return "not support"
    

    if model_series == 'gpt':
        client = OpenAI(
            api_key=api_key,
            base_url="https://api.bianxie.ai/v1"
        )
        completion = client.chat.completions.create(
            model = model_name,
            messages=[
                {
                    "role": "user",
                    "content": content
                }
            ]
        )
        return completion.choices[0].message
   

    elif model_series == 'deepSeek' or model_series == 'qwen' or model_series == 'llama':

        client = OpenAI(api_key=api_key,
                         base_url="https://api.studio.nebius.ai/v1")

        response = client.chat.completions.create(
            model=model_name,
            messages=[
                {"role": "user", "content": content},
            ],
            stream=False
        )

        return response.choices[0].message.content

        
    elif model_series == 'gemini':
        api_key = api_key
        url = 'https://api.bianxie.ai/v1/chat/completions'
        headers = {
            'Content-Type': 'application/json',
            'Authorization': f'Bearer {api_key}'
        }
        data = {
            'model': model_name,
            'messages': [{'role': 'user', 'content': content}],
        }
        response = requests.post(url, headers=headers, json=data)
        content = response.json()['choices'][0]['message']
        return content
        
    elif model_series == 'claude':
        url = 'https://api.bianxie.ai/v1/chat/completions'

        headers = {
            'Content-Type': 'application/json',
            'Authorization': f'Bearer {api_key}'
        }

        data = {
            'model': model_name,
            'messages': [{'role': 'user', 'content': content}],
        }

        response = requests.post(url, headers=headers, json=data)
        content = response.json()['choices'][0]['message']
        return content
    
    else:
        return "not support"