GeoLLM - 副本/scripts/Task2/utils/LLM.py

from openai import OpenAI
import pandas as pd
import requests

# input model series and content
def LLM_request(model_series, model_name, content):
    # Read API keys from txt file
    df = pd.read_csv('./scripts/Task2/utils/LLM_APIs.txt')
    # Split column names due to tab characters
    df = pd.DataFrame([x.split('\t') for x in df.values.flatten()], columns=['name','API'])
    # get corresponding API key
    api_key = df[df['name'] == model_series]['API'].values[0]

    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 == 'ds_V3_qwen_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':
        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
    
    else:
        return "Unsupported model series. Please check the model series name."