2.0 KiB
2.0 KiB
Documentation
- Class name: LLMNode
- Category: llm
- Output node: True
- Repo Ref: https://github.com/esheep/esheep_custom_nodes.git
该节点便于与语言模型进行交互式通信,能够处理用户输入并生成响应,实现信息的交流。
Input types
Required
- text
- 文本输入对于启动与语言模型的对话至关重要,它为AI的响应设定了上下文。
- Comfy dtype: STRING
- Python dtype: str
Output types
- result
- 结果输出包含语言模型对用户输入的响应,是节点功能的核心结果。
- Comfy dtype: COMBO[STRING]
- Python dtype: List[str]
Usage tips
- Infra type: CPU
Source code
class LLMNode:
@classmethod
def INPUT_TYPES(s):
return {'required': {'text': ('STRING', {'multiline': True})}, 'hidden': {}}
RETURN_TYPES = ('STRING',)
FUNCTION = 'chat'
CATEGORY = 'llm'
OUTPUT_IS_LIST = (True,)
OUTPUT_NODE = True
def chat(self, text):
messages_copy = messages.copy()
messages_copy.append({'role': 'user', 'content': text})
data = {'messages': messages_copy, 'stops': ['[INST]', '</edit>', '</image>']}
response = requests.post(url, headers=headers, data=json.dumps(data))
if response.status_code != 200:
return {'ui': {'result': [text]}, 'result': ([text],)}
response_dict = json.loads(response.text)
last_message = response_dict['messages'][-1]
if last_message['role'] != 'assistant':
return {'ui': {'result': [text]}, 'result': ([text],)}
result = last_message['content']
last_image_index = result.rfind('<image>')
if last_image_index != -1:
result = result[last_image_index + len('<image>'):]
last_edit_index = result.rfind('<edit>')
if last_edit_index != -1:
result = result[last_edit_index + len('<edit>'):]
print('result: ', result)
return {'ui': {'result': [result]}, 'result': ([result],)}