commit 23f24eed6a3bd2ca2c7e57ff7c3dda45a8d6725b Author: leoleexh Date: Sat Feb 24 10:43:53 2024 +0800 fits issu diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..f288702 --- /dev/null +++ b/LICENSE @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. By contrast, +the GNU General Public License is intended to guarantee your freedom to +share and change all versions of a program--to make sure it remains free +software for all its users. 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If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. diff --git a/README.md b/README.md new file mode 100644 index 0000000..d0cda23 --- /dev/null +++ b/README.md @@ -0,0 +1,131 @@ +# cyberdolphin + +The dolphin is wiring up OpenAI and local LLMs. OpenAI v1.2.3 is required. + +![cyberdolphin.png](examples/cyberdolphin.png) + + +## Installation + +Git clone this repo into the `custom_nodes` folder. +If necessary, check the pip requirements. It will be necessary. + +## Examples + +There are workflows in the [examples folder](./examples) +![img.png](examples/img.png) +--- + +## Nodes + +The nodes all share a config file at `settings.yaml`. Provided with the repo is the +`settings.yaml.example` which can be copied to a new file called `settings.yaml` +for editing. The `settings.yaml` file is ignored by git. + +### OpenAI GPT Node + +**REQUIRES** STRING `user_prompt` + +The text is the user portion of the gpt prompt. +_Generates_ an engineered prompt +from a user-editable template config file with the user text embedded. +Dropdown select from available OpenAI models. Most of these will not work. +The models that DO work at the time of writing are at least, including but not limited to +**gpt-3.5-turbo** and **gpt-4**. +Runs the prompt gpt-3.5-turbo (or a user-selected alternative) with the text. + +**PRODUCES** STRING. + +### OpenAI Compatible Node + +**REQUIRES** STRING `text` + +The text is embedded in the user prompt. +Generates an "engineered" prompt from template. +The user text is embedded in the engineered prompt. +Calls for completion of the prompt to the user-defined URL. + +**PRODUCES** STRING + +### OpenAI DALL·E Node + +**REQUIRES** STRING `text` + +Calls OpenAI DALL·E with the text. + +**PRODUCES** IMAGE + + +--- + +### Pip requirements + +This collection has some extra requirements that are not present in the ComfyUI distribution. +Things like openai, gradio-client and technologist tools. + +### Experimental + +This is an experimental collection of nodes. This project needs validation on MacOS, Windows and Linux. +So far, it works on my machine which is a Linux distribution. + +## Contributions + +Looking for participants, happy to work on PRs! + +**Guidelines for the Dolphin:** + +* Keep it small - PRs should be quick and easy. +* Large things must be compositions of smaller things. +* Dependencies should be external - i.e. loaded by a node +* For example: + * _the Llava loader node passes the Llava model to the recogniser node which uses the Llava model to emit a list of + objects_ + * _and not, the "Llava node does everything"_ + +**Keep it small** + +In the spirit of "Keep it small", I'm trying to make sure my big ideas for the dolphin +stay within the realm of LLMs - + +Here are some big ideas that didn't make it into the roadmap for CyberDolphin: + +#### Big Ideas I have for future things that are not the dolphin: + +**Cam Nodes** + +* **Webcam Node** for phone/laptop +* **Cam Node** for HDMI type input devices +* **Live Stream Node** to capture vision from a _Thing of the Internet_ + +**Speech to Text** + +* **Microphone node** Captures spoken instructions into **audio node** +* Instructions are transcribed using + * **OpenAI-Whisper node** or + * _TTS model_ loaded by the **TTS node** + +**The Simple Storybook Production Kit** + +Where "LLM-node" is short for "LLM powered node": + +```text +LLM-node dreams up the story type +LLM-node dreams up the character names, their badge +LLM-node dreams up the story title +LLM-node dreams up chapter summaries + +LLM-node generates a page in "the story" + +LLM-node generates images of characters: + id badge, + smiling photo, + frowning photo, + 'character' shot + +LLM-node generates prompt for page illustration +LLM-node generates page text +``` + +## License + +GPL 3. \ No newline at end of file diff --git a/__init__.py b/__init__.py new file mode 100644 index 0000000..9a6b812 --- /dev/null +++ b/__init__.py @@ -0,0 +1,15 @@ + +from .cyberdolphin_openai_compatible import CyberdolphinOpenAICompatible + + +NODE_CLASS_MAPPINGS = { + + "🐵 ComfyUI-LLMs": CyberdolphinOpenAICompatible, + +} + +NODE_DISPLAY_NAME_MAPPINGS = { + + "CyberDolphin OpenAI Compatible": "🐵 ComfyUI-LLMs", + +} diff --git a/cyberdolphin_openai_compatible.py b/cyberdolphin_openai_compatible.py new file mode 100644 index 0000000..9dab509 --- /dev/null +++ b/cyberdolphin_openai_compatible.py @@ -0,0 +1,73 @@ +from .openai_client import OpenAiClient +from .settings import load_settings + + +class CyberdolphinOpenAICompatible: + + @classmethod + def INPUT_TYPES(s): + all_settings = load_settings() + # prompt_templates = all_settings['prompt_templates'] + default_user_prompt = all_settings['example_user_prompt'] + # default_system_prompt = all_settings['example_user_prompt'] + available_apis = [a for a in all_settings['openai_compatible']] + + # available_templates = [t for t in prompt_templates] + default_model = all_settings['openai_compatible']['default']['model'] + + return { + "required": { + "api": (available_apis, { + "default": "default" + }), + # "prompt_template": (available_templates, { + # "default": 'default' + # }), + # "model": (["chatglm_pro", "ERNIE-Bot-4", "qwen-turbo-internet", "gpt-3.5-turbo", "gpt-35-turbo", "gpt-3.5-turbo-16k", "gpt-3.5-turbo-16k-0613", "gpt-4-0613", "gpt-4-1106-preview"], + # {"default": "gpt-3.5-turbo"}), + "model": (default_model, + {"default": "gpt-3.5-turbo"}), + "system_prompt": ("STRING", + { + "default": "You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible.", + "multiline": True, "dynamicPrompts": False + }), + + "user_prompt": ("STRING", { + "multiline": True, + "default": default_user_prompt + }), + "temperature": ("FLOAT", { + "default": 1.0, "min": 0.0, "max": 2.0, "step": 0.01, + }), + }, + "optional": { + "top_p": ("FLOAT", { + "default": 1.0, "min": 0.001, "max": 1.0, "step": 0.01, + }), + } + } + + RETURN_TYPES = ("STRING",) + RETURN_NAMES = ("gpt_response",) + FUNCTION = "generate" + CATEGORY = "🐵 ComfyUI-LLMs" + + def generate(self, api: str, model: str, temperature: float | None = None, + top_p: float | None = None, user_prompt="", system_prompt=""): + # this_prompt = load_settings()['prompt_templates'][prompt_template] + # system_content = this_prompt['system'] + system_content = system_prompt + # user_content = f"{this_prompt['prefix']} {user_prompt} {this_prompt['suffix']}" + user_content = user_prompt + + response = OpenAiClient.complete( + key=api, + model=model, + temperature=temperature, + top_p=top_p, + system_content=system_content, + user_content=user_content) + + return (f'{response.choices[0].message.content}',) +# prompt_template: str, diff --git a/openai_client.py b/openai_client.py new file mode 100644 index 0000000..e02888b --- /dev/null +++ b/openai_client.py @@ -0,0 +1,82 @@ +from typing import Literal, TypeAlias + +import PIL.Image +from openai import OpenAI + +from custom_nodes.cyberdolphin.settings import api_settings + +DALL_E_SIZE: TypeAlias = Literal["256x256", "512x512", "1024x1024", "1792x1024", "1024x1792"] + + +def validation(temperature: float, top_p: float = None) -> list[str]: + errors_list = [] + if temperature is None and top_p is None: + errors_list.append('Must contain a temperature or a top_p') + if top_p < 0 or top_p > 1: + errors_list.append('top_p must be a number between 0 and 1') + if temperature < 0 or temperature > 2: + errors_list.append( + """Temperature should be a value between 0.0 and 2.0 + - openai says higher values like 0.8 will make the output more random, + lower values like 0.2 make it more focused and deterministic. + """) + return errors_list + + +def convert_bson_to_image(image_bson: str) -> PIL.Image.Image: + import base64 + import io + from PIL import Image + image_bytes = base64.b64decode(image_bson) + image = Image.open(io.BytesIO(image_bytes)) + return image + + +class OpenAiClient: + + @staticmethod + def create_client(key: str = "openai"): + api_base, api_key, organization = api_settings(key) + the_client = OpenAI( + base_url=api_base, + api_key=api_key, + organization=organization, + ) + return the_client + + @staticmethod + def model_list(): + the_client = OpenAiClient.create_client() + the_models = the_client.models.list() + return [m.id for m in the_models.data] + + @staticmethod + def image_create(prompt: str, size: DALL_E_SIZE = "1024x1024", ) -> PIL.Image.Image: + the_client = OpenAiClient.create_client() + response = the_client.images.generate( + n=1, + size=size, + prompt=prompt, + response_format="b64_json" + ) + image_bson = response.data[0].b64_json + i = convert_bson_to_image(image_bson) + return i + + @staticmethod + def complete(key: str, model: str, temperature: float, top_p: float, system_content: str, user_content: str): + errors = validation(temperature, top_p) + if errors: + error_report = "\n".join([e for e in errors]) + raise RuntimeError(f"There were problems with the parameters:\n{error_report}") + the_client = OpenAiClient.create_client(key) + response = the_client.chat.completions.create( + model=model, + temperature=temperature, + top_p=top_p, + messages=[ + {"role": "system", "content": system_content}, + {"role": "user", "content": user_content} + ] + ) + return response diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..4810bd2 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,4 @@ +openai ~= 1.2.3 +gradio_client +numpy +pillow \ No newline at end of file diff --git a/settings.py b/settings.py new file mode 100644 index 0000000..6991232 --- /dev/null +++ b/settings.py @@ -0,0 +1,45 @@ +import os +import pathlib + +import yaml + +DEFAULT_SETTINGS = { + "cyberdolphin": { + "openai": { + "organisation": "NO ORG", + "api_key": "NO API KEY", + "model": "gpt-3.5-turbo" + }, + "openai_compatible": { + "organisation": "NO ORG", + "api_key": "your_key", + "api_base": 'http://ip:3200' + }, + "prompts": { + "example_user_prompt": "{Camel|goldfish|glowing orb},{moss|tree|fern|balloon},{space station|garden shed|glowing laser sword|bowl of petunias|orange taxi|neon sign}", + "default_prompt": { + "system": "You are deeply artistic, understanding of concepts like composition, pallete and color theory, and image psychology.", + "prefix": "Do use objective language. Do not add narrative. Do describe objects visually and in context. \ + Do not describe the purpose of the objects, or any other explanations \"", + "suffix": '"' + } + } + } +} + + +def load_settings(): + path = os.path.join(os.path.dirname(__file__), "settings.yaml") + file_path = pathlib.Path(path) + if not file_path.exists(): + return DEFAULT_SETTINGS['cyberdolphin'] + + with open(path) as settings: + the_yaml = yaml.safe_load(settings) + # print(f'LOADED: {the_yaml["cyberdolphin"]}') + return the_yaml['cyberdolphin'] + + +def api_settings(section: str = "openai"): + openai_settings = load_settings()['openai_compatible'][section] + return openai_settings['api_base'], openai_settings['api_key'], openai_settings['organisation']