47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
from openai import OpenAI
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import os
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class DATASET_OpenAIChat:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"model": (["gpt-4", "gpt-4-32k", "gpt-3.5-turbo", "gpt-4-0125-preview", "gpt-4-turbo-preview", "gpt-4-1106-preview", "gpt-4-0613"], {"default": "gpt-3.5-turbo"}),
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"api_url": ("STRING", {"multiline": False, "default": "https://api.openai.com/v1"}),
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"api_key": ("STRING", {"multiline": False}),
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"prompt": ("STRING", {"multiline": True, "default": ""}),
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"token_length": ("INT", {"default": 1024})
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}
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}
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RETURN_TYPES = ("STRING",)
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FUNCTION = "generate"
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CATEGORY = "🔶DATASET🔶"
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def generate(self, model, api_url, api_key, prompt, token_length):
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try:
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ai = OpenAI(api_key=api_key, base_url=api_url)
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if not api_key:
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return "OpenAI API key is required."
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request = [{"role": "system","content": "You are GPT-4"},{"role": "user","content": prompt}]
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response = ai.chat.completions.create(model=model,messages=request,max_tokens=token_length)
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answer = response.choices[0].message.content
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return (answer,)
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except Exception as e:
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return (f"Error: {str(e)}",)
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@classmethod
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def IS_CHANGED(s, model, api_url, api_key, prompt, token_length):
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return os.urandom(16).hex()
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N_CLASS_MAPPINGS = {
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"DATASET_OpenAIChat": DATASET_OpenAIChat,
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}
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N_DISPLAY_NAME_MAPPINGS = {
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"DATASET_OpenAIChat": "DATASET_OpenAIChat",
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} |