Files

71 lines
2.3 KiB
Python

import os
import json
from openai import OpenAI
from .hua_icons import icons
class DeepseekNode:
def __init__(self):
pass
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"api_key": ("STRING", {"multiline": False}),
"prompt": ("STRING", {"multiline": True}),
"system_prompt": ("STRING", {
"multiline": True,
"default": "You are a helpful assistant"
}),
"seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
},
"optional": {
"temperature": ("FLOAT", {
"default": 0.7,
"min": 0.0,
"max": 2.0,
"step": 0.1,
"tooltip": "创造性,随机性"
}),
}
}
RETURN_TYPES = ("STRING",)
FUNCTION = "execute"
CATEGORY = icons.get("hua_boy_one")
@classmethod
def get_icon(cls):
dir_path = os.path.dirname(os.path.realpath(__file__))
icon_path = os.path.join(dir_path, "deepseek_icon.svg")
if os.path.exists(icon_path):
with open(icon_path, "r") as f:
return f.read()
return None
def execute(self, api_key, prompt, seed, system_prompt="You are a helpful assistant", temperature=0.7):
if not api_key:
return ("Error: Please provide your API key",)
try:
client = OpenAI(
api_key=api_key,
base_url="https://api.deepseek.com"
)
response = client.chat.completions.create(
model="deepseek-chat",
messages=[
{"role": "system", "content": system_prompt},
{"role": "user", "content": prompt},
],
temperature=temperature,
stream=False
)
result = response.choices[0].message.content
print(f"Deepseek API response: {result}")
return (result,)
except Exception as e:
return (f"Error: {str(e)}",)