diff --git a/.github/workflow/kube-workflow-init.yaml b/.github/workflow/kube-workflow-init.yaml new file mode 100644 index 0000000..2949d61 --- /dev/null +++ b/.github/workflow/kube-workflow-init.yaml @@ -0,0 +1,10 @@ +name: Initialization Workflow + +on: + workflow_dispatch: + +jobs: + init: + uses: kerthcet/github-workflow-as-kube/.github/workflows/workflow-as-kubernetes-init.yaml@v0.1.3 + secrets: + AGENT_TOKEN: ${{ secrets.AGENT_TOKEN }} diff --git a/.github/workflow/kube-workflow.yaml b/.github/workflow/kube-workflow.yaml new file mode 100644 index 0000000..e68ebef --- /dev/null +++ b/.github/workflow/kube-workflow.yaml @@ -0,0 +1,21 @@ +name: Event Workflow + +on: + issues: + types: + - opened + issue_comment: + types: + - created + pull_request_target: + types: + - opened + - synchronize + - labeled + - unlabeled + +jobs: + event-handler: + uses: kerthcet/github-workflow-as-kube/.github/workflows/workflow-as-kubernetes.yaml@v0.1.3 + secrets: + AGENT_TOKEN: ${{ secrets.AGENT_TOKEN }} diff --git a/Dockerfile b/Dockerfile index 91735e6..32ff0a2 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,6 +1,6 @@ FROM python:3.10-slim -RUN mkdir -p /app/llmaz +RUN mkdir -p /app/llmboard WORKDIR /app COPY requirements.txt . @@ -8,7 +8,7 @@ RUN python -m pip install --upgrade pip && \ pip install -r requirements.txt COPY main.py . -COPY llmaz/ ./llmaz +COPY llmboard/ ./llmboard EXPOSE 7860 CMD ["python", "main.py"] diff --git a/README.md b/README.md index 2eb0e0d..d14fcbf 100644 --- a/README.md +++ b/README.md @@ -1,17 +1,7 @@ -# Console for LLMAZ +# ChatUI for LLMs on llmaz -A dashboard for [llmaz](https://github.com/InftyAI/llmaz) to interact with LLM workloads. +A console for [llmaz](https://github.com/InftyAI/llmaz) to interact with LLM workloads. ## How to deploy Run `make launch` then visit `http://localhost:7860` for Console. - -![console](./docs/asserts/preview.jpg) - -## 👏 Contributors - -Thanks to all these contributors. You're the heroes. - - - - diff --git a/console/serve/chatbot.py b/console/serve/chatbot.py deleted file mode 100644 index 8632c63..0000000 --- a/console/serve/chatbot.py +++ /dev/null @@ -1,23 +0,0 @@ -import torch - - -class Chatbot: - def __init__(self, model_name_or_path, task, **kwargs) -> None: - # self.__chat = ChatLLM(model_name_or_path=model_name_or_path, task=task) - pass - - def completion(self, messages) -> str: - """ - Chat completion. - """ - return "self.chat.completion(messages=messages)" - return self.__chat.completion(messages=messages) - - def torch_gc(self) -> None: - """ - Reclaim GPU memory. - """ - # FIXME: will this lead to memory leakage? - self.__chat = None - if torch.cuda.is_available(): - torch.cuda.empty_cache() diff --git a/console/serve/serve.py b/console/serve/serve.py deleted file mode 100644 index 9466400..0000000 --- a/console/serve/serve.py +++ /dev/null @@ -1,32 +0,0 @@ -from console.serve.chatbot import Chatbot - - -class Serve: - def __init__(self) -> None: - self.__model = None - - def preload_model(self, model_name_or_path, task, temperature, stream) -> None: - # TODO: Because gradio can not maintain state like page refresh, so we'll not offload model here. - # See https://github.com/gradio-app/gradio/issues/3106. - # So if user wants to load a different model, he/she should offload the model first. - if self.__model is not None: - return - - self.__model = Chatbot( - model_name_or_path=model_name_or_path, - task=task, - temperature=temperature, - stream=stream, - ) - - def offload_model(self) -> None: - if self.__model is None: - return - - self.__model.torch_gc() - self.__model = None - - def completion(self, messages) -> str: - if self.__model is None: - raise Exception("No model preloaded") - return self.__model.completion(messages) diff --git a/console/webui/engine.py b/console/webui/engine.py deleted file mode 100644 index 2310481..0000000 --- a/console/webui/engine.py +++ /dev/null @@ -1,21 +0,0 @@ -from console.serve.serve import Serve - - -class Engine: - def __init__(self) -> None: - self.serve = Serve() - self.__model_loaded = False - - def model_loaded(self) -> bool: - return self.__model_loaded - - def preload_model(self, model_name_or_path, task, temperature, stream) -> None: - if model_name_or_path is None or model_name_or_path == "": - raise Exception("no model_name_or_path provided") - - self.serve.preload_model(model_name_or_path, task, temperature, stream) - self.__model_loaded = True - - def offload_model(self) -> None: - self.serve.offload_model() - self.__model_loaded = False diff --git a/console/webui/webui.py b/console/webui/webui.py deleted file mode 100644 index bac8e20..0000000 --- a/console/webui/webui.py +++ /dev/null @@ -1,23 +0,0 @@ -# TODO: Using logging once ready -# import logging - -import gradio as gr - -from console.webui.engine import Engine -from console.webui.webui_serving import create_serving_webui -from console.webui.webui_finetune import create_finetune_webui -from console.webui.webui_prompt import create_prompt_webui - - -def launch_webui() -> gr.Blocks: - engine = Engine() - - with gr.Blocks(title="Console") as blocks: - # Serving Tab - create_serving_webui(engine) - # Prompt Tab - create_prompt_webui(engine) - # Fine-tuning Tab - create_finetune_webui(engine) - - return blocks diff --git a/console/webui/webui_finetune.py b/console/webui/webui_finetune.py deleted file mode 100644 index 889edb5..0000000 --- a/console/webui/webui_finetune.py +++ /dev/null @@ -1,8 +0,0 @@ -import gradio as gr - -from console.webui.engine import Engine - - -def create_finetune_webui(engine: Engine) -> gr.Tab: - with gr.Tab("Fine-Tuning"): - pass diff --git a/console/webui/webui_prompt.py b/console/webui/webui_prompt.py deleted file mode 100644 index fe155f0..0000000 --- a/console/webui/webui_prompt.py +++ /dev/null @@ -1,8 +0,0 @@ -import gradio as gr - -from console.webui.engine import Engine - - -def create_prompt_webui(engine: Engine) -> gr.Tab: - with gr.Tab("Prompt"): - pass diff --git a/console/webui/webui_serving.py b/console/webui/webui_serving.py deleted file mode 100644 index 799306a..0000000 --- a/console/webui/webui_serving.py +++ /dev/null @@ -1,84 +0,0 @@ -import gradio as gr -from llmlite.apis import ChatMessage - -from console.webui.engine import Engine - - -loaded = False - - -def create_serving_webui(engine: Engine) -> gr.Tab: - def predict(message, history, system_prompt): - messages = [] - for i in range(0, len(history)): - messages.append(ChatMessage(role="user", content=history[i][0])) - messages.append(ChatMessage(role="assistant", content=history[i][1])) - - messages.append(ChatMessage(role="user", content=message)) - - # TODO: https://github.com/InftyAI/llmlite/issues/31 - if system_prompt != "": - messages = [ChatMessage(role="system", content=system_prompt)] + messages - - return engine.serve.completion(messages=messages) - - with gr.Tab("Serving"): - with gr.Row(): - # TODO: required validation, see https://github.com/gradio-app/gradio/issues/2718 - model_name = gr.Textbox( - label="model_name_or_path", - placeholder="this is required", - ) - task = gr.Textbox( - label="task", - placeholder="this is optional, default to text-generation", - ) - - with gr.Accordion("click for more parameters...", open=False): - temperature = gr.Slider(0, 100, step=5, label="temperature") - stream = gr.Checkbox(label="stream") - - with gr.Row(): - load_btn = gr.Button("Load Model", interactive=(not loaded)) - offload_btn = gr.Button("Offload Model", interactive=loaded) - - # TODO: https://github.com/InftyAI/Llmaz/issues/6 - load_btn.click( - fn=engine.preload_model, - inputs=[model_name, task, temperature, stream], - ).success( - lambda b: gr.update(interactive=False), - inputs=[load_btn], - outputs=[load_btn], - ).success( - lambda b: gr.update(interactive=True), - inputs=[offload_btn], - outputs=[offload_btn], - ) - offload_btn.click( - fn=engine.offload_model, - ).success( - lambda b: gr.update(interactive=False), - inputs=[offload_btn], - outputs=[offload_btn], - ).success( - lambda b: gr.update(interactive=True), - inputs=[load_btn], - outputs=[load_btn], - ) - - with gr.Tab("Chatbot"): - gr.ChatInterface( - predict, - retry_btn=None, - undo_btn=None, - additional_inputs=[ - gr.Textbox(placeholder="this is optional", label="system prompt"), - ], - ) - - # TODO: Just for demonstration, once we have another application for serving, remove it. - with gr.Tab("PR-Copilot"): - pass - with gr.Tab("RAG"): - pass diff --git a/docs/asserts/preview.jpg b/docs/asserts/preview.jpg deleted file mode 100644 index 5f83b27..0000000 Binary files a/docs/asserts/preview.jpg and /dev/null differ diff --git a/console/serve/__init__.py b/llmboard/libs/__init__.py similarity index 100% rename from console/serve/__init__.py rename to llmboard/libs/__init__.py diff --git a/llmboard/libs/consts.py b/llmboard/libs/consts.py new file mode 100644 index 0000000..2abff02 --- /dev/null +++ b/llmboard/libs/consts.py @@ -0,0 +1,12 @@ +# GVKs +group = "llmaz.io" +version = "v1alpha1" +openmodel_plural = "openmodels" + +# object label keys. +label_key_family_name = "llmaz.io/model-family-name" +label_key_model_name = "llmaz.io/model-name" + +# Model hubs. +huggingface = "Huggingface" +modelscope = "ModelScope" diff --git a/llmboard/libs/inference_service.py b/llmboard/libs/inference_service.py new file mode 100644 index 0000000..8f7bd79 --- /dev/null +++ b/llmboard/libs/inference_service.py @@ -0,0 +1,9 @@ +from dataclasses import dataclass + + +@dataclass(frozen=True) +class InferenceService: + name: str + namespace: str + model_family_name: str + model_name: str diff --git a/llmboard/libs/models.py b/llmboard/libs/models.py new file mode 100644 index 0000000..53ae707 --- /dev/null +++ b/llmboard/libs/models.py @@ -0,0 +1,21 @@ +from kubernetes import client +from kubernetes.client import CustomObjectsApi + +from llmboard.libs.consts import group, version, openmodel_plural + + +def get_openmodel_objects(api: CustomObjectsApi, namespace: None): + try: + if namespace: + # TODO: we do not support namespaced models yet. + raise NotImplementedError("do not support namespaced models yet") + else: + response = api.list_cluster_custom_object( + group=group, + version=version, + plural=openmodel_plural, + ) + return response.get("items", []) + except client.exceptions.ApiException as e: + print(f"Error fetching OpenModel objects: {e}") + return [] diff --git a/console/webui/__init__.py b/llmboard/webui/__init__.py similarity index 100% rename from console/webui/__init__.py rename to llmboard/webui/__init__.py diff --git a/llmboard/webui/engine.py b/llmboard/webui/engine.py new file mode 100644 index 0000000..bef8f5a --- /dev/null +++ b/llmboard/webui/engine.py @@ -0,0 +1,12 @@ +from kubernetes import config +from llmboard.libs.models import get_openmodel_objects + + +class Engine: + def __init__(self) -> None: + # config.load_incluster_config() + pass + + def get_models(self): + # objs = get_openmodel_objects() + pass diff --git a/llmboard/webui/webui.py b/llmboard/webui/webui.py new file mode 100644 index 0000000..f2e3566 --- /dev/null +++ b/llmboard/webui/webui.py @@ -0,0 +1,17 @@ +import gradio as gr + +from llmboard.webui.engine import Engine +from llmboard.webui.webui_chat import create_chat_webui +from llmboard.webui.webui_market import create_market_webui + + +def launch_webui() -> gr.Blocks: + engine = Engine() + + with gr.Blocks(title="llmboard") as blocks: + # TODO: Model Market Tab, list and create serving services. + # create_market_webui(engine) + # Serving Tab + create_chat_webui(engine) + + return blocks diff --git a/llmboard/webui/webui_chat.py b/llmboard/webui/webui_chat.py new file mode 100644 index 0000000..7be3c21 --- /dev/null +++ b/llmboard/webui/webui_chat.py @@ -0,0 +1,63 @@ +import random + +import gradio as gr + +from llmboard.webui.engine import Engine + +loaded = False + + +def create_chat_webui(engine: Engine) -> gr.Tab: + def predict(message, history): + print(f"message: {message}, history: {history}") + return random.choice(["Yes", "No"]) + + data = { + "family1": ["model1", "model2", "model3"], + "family2": ["model4", "model5"], + "family3": ["model6", "model7", "model8", "model9"], + "llama": ["model6", "model7", "model8", "llama2"], + } + + services = { + "llama2": ["service1", "service2", "service3", "service4"], + } + + def get_models(family): + models = data.get(family, []) + return gr.update(choices=models, value=models[0] if models else None) + + def get_services(model): + svcs = services.get(model, []) + return gr.update(choices=svcs, value=svcs[0] if svcs[0] else None) + + with gr.Tab("Chat"): + with gr.Row(): + family_dropdown = gr.Dropdown( + label="Select Model Family", choices=list(data.keys()), value=None + ) + model_dropdown = gr.Dropdown( + label="Select Model", choices=[], value=None, interactive=True + ) + service_dropdown = gr.Dropdown( + label="Select Service", choices=[], value=None, interactive=True + ) + + family_dropdown.change( + get_models, inputs=family_dropdown, outputs=model_dropdown + ) + model_dropdown.change( + get_services, inputs=model_dropdown, outputs=service_dropdown + ) + + with gr.Accordion("click for more parameters...", open=False): + temperature = gr.Slider(0, 100, step=5, label="temperature") + stream = gr.Checkbox(label="stream") + + gr.ChatInterface( + fn=predict, + additional_inputs=[ + gr.Textbox(placeholder="this is optional", label="System Prompt"), + ], + type="messages", + ) diff --git a/llmboard/webui/webui_market.py b/llmboard/webui/webui_market.py new file mode 100644 index 0000000..871b613 --- /dev/null +++ b/llmboard/webui/webui_market.py @@ -0,0 +1,35 @@ +import gradio as gr +import requests + +from llmboard.webui.engine import Engine + + +def fetch_readme(url): + response = requests.get(url) + if response.status_code == 200: + return response.text + else: + return f"Load document error" + + +def create_market_webui(engine: Engine) -> gr.Tab: + with gr.Tab("Model Market"): + with gr.Row(): + with gr.Group(): + gr.Markdown("## Model Card1") + + with gr.Group(): + gr.Markdown("## Model Card2") + + with gr.Group(): + gr.Markdown("## Model Card3") + + with gr.Row(): + with gr.Group(): + gr.Markdown("## Model Card4") + + with gr.Group(): + gr.Markdown("## Model Card5") + + with gr.Group(): + gr.Markdown("## Model Card6") diff --git a/main.py b/main.py index 5d0eb55..5062666 100644 --- a/main.py +++ b/main.py @@ -1,4 +1,4 @@ -from console.webui.webui import launch_webui +from llmboard.webui.webui import launch_webui if __name__ == "__main__": webui = launch_webui() diff --git a/poetry.lock b/poetry.lock index f32c26b..4dd5eab 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,32 +1,4 @@ -# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. - -[[package]] -name = "accelerate" -version = "0.22.0" -description = "Accelerate" -optional = false -python-versions = ">=3.8.0" -files = [ - {file = "accelerate-0.22.0-py3-none-any.whl", hash = "sha256:d132e57bfc4b0417464997b14aa141fd88696cbb4472eb03116c2bd97542befc"}, - {file = "accelerate-0.22.0.tar.gz", hash = "sha256:2b0a83e3cd07c89448c5d5a94f72bc1db98d5e0c498ca17984871f01dbf83247"}, -] - -[package.dependencies] -numpy = ">=1.17" -packaging = ">=20.0" -psutil = "*" -pyyaml = "*" -torch = ">=1.10.0" - -[package.extras] -dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "deepspeed", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.0.241)", "scikit-learn", "scipy", "tqdm", "transformers", "urllib3 (<2.0.0)"] -quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.0.241)", "urllib3 (<2.0.0)"] -rich = ["rich"] -sagemaker = ["sagemaker"] -test-dev = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "scikit-learn", "scipy", "tqdm", "transformers"] -test-prod = ["parameterized", "pytest", "pytest-subtests", "pytest-xdist"] -test-trackers = ["comet-ml", "tensorboard", "wandb"] -testing = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "tqdm", "transformers"] +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. 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