Files
daxcay-ComfyUI-DataSet/classes/DATASET_OpenAIChatImageBatch.py
T
daxcay e8752c4f71 Major update
Made changes to make nodes more cohesive
2024-07-05 09:04:31 +05:30

80 lines
2.7 KiB
Python

import base64
import io
from PIL import Image
import numpy as np
from openai import OpenAI
import os
class DataSet_OpenAIChatImageBatch:
def __init__(self):
pass
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"images": ("IMAGE",),
"image_detail": (["low","high"], {"default": "high"}),
"prompt": ("STRING", {"multiline": True, "default": ""}),
"model": (["gpt-4o","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-4o"}),
"api_url": ("STRING", {"multiline": False, "default": "https://api.openai.com/v1"}),
"api_key": ("STRING", {"multiline": False}),
"token_length": ("INT", {"default": 1024})
}
}
INPUT_IS_LIST = True
RETURN_TYPES = ("STRING",)
OUTPUT_IS_LIST = (True,)
FUNCTION = "generate"
CATEGORY = "🔶DATASET🔶"
def to_base64(self, image):
image = image[0]
i = 255. * image.cpu().numpy()
img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
buffered = io.BytesIO()
img.save(buffered, format="PNG")
return base64.b64encode(buffered.getvalue()).decode("utf-8")
def generate(self, images, image_detail, model, api_url, api_key, prompt, token_length):
try:
image_detail = image_detail[0]
model = model[0]
api_url = api_url[0]
api_key = api_key[0]
prompt = prompt[0]
token_length = token_length[0]
answers = []
for image in images:
ai = OpenAI(api_key=api_key, base_url=api_url)
base64img = self.to_base64(image)
if not api_key:
return "OpenAI API key is required."
request = [{"role": "system","content": "You are GPT-4."}]
request.append({"role": "user","content": [{"type": "image_url", "image_url": {"url": f"data:image/png;base64,{base64img}", "detail": image_detail}}]})
request.append({"role": "user","content": prompt})
response = ai.chat.completions.create(model=model,messages=request,max_tokens=token_length)
answer = response.choices[0].message.content
answers.append(answer)
return (answers,)
except Exception as e:
return (f"Error: {str(e)}",)
N_CLASS_MAPPINGS = {
"DataSet_OpenAIChatImageBatch": DataSet_OpenAIChatImageBatch,
}
N_DISPLAY_NAME_MAPPINGS = {
"DataSet_OpenAIChatImageBatch": "DataSet_OpenAIChatImageBatch",
}