Merge pull request #29 from kerthcet/cleanup/rename

Remove unnecessary files

.github/workflows/kube-workflow-init.yaml

@@ -0,0 +1,10 @@
+name: Initialization Workflow
+
+on:
+  workflow_dispatch:
+
+jobs:
+  init:
+    uses: kerthcet/github-workflow-as-kube/.github/workflows/[email protected]
+    secrets:
+      AGENT_TOKEN: ${{ secrets.AGENT_TOKEN }}

.github/workflows/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/[email protected]
+    secrets:
+      AGENT_TOKEN: ${{ secrets.AGENT_TOKEN }}

OWNERS

@@ -0,0 +1,5 @@
+approvers:
+  - kerthcet
+
+reviewers:
+  - kerthcet

README.md

@@ -1,50 +1,17 @@
-# Llmaz
+# Console for LLMAZ
 
-**Llmaz**, pronounced as `/lima:z/`, is a building block for users to build their own LLM from A to Z. **We're the aborigines of Kubernetes.**
+A dashboard for [llmaz](https://github.com/InftyAI/llmaz) to interact with LLM workloads.
 
-This is mostly driven by several people who has great enthusiasm about AI at spare time, if you're one of this kind of people, please join us.
+## How to deploy
 
-🚀 All kinds of contributions are welcomed ! Please follow [Contributing](/CONTRIBUTING.md).
+Run `make launch` then visit `http://localhost:7860` for Console.
 
-## 🪂 How to run
-
-### Prerequisites
-
-- [Helm](https://helm.sh/)
-- [Kind](https://kind.sigs.k8s.io/)
-
-### Install
-
-```shell
-git clone https://github.com/InftyAI/Llmaz.git
-kind create cluster # ignore this if you already have a Kubernetes cluster
-helm install llmaz Llmaz/deploy/llmaz --create-namespace --namespace llmaz
-kubectl port-forward svc/llmaz 7860:7860
-```
-
-*Visit <http://localhost:7860> for WebUI*
-
-![webui](./images/webui.jpg)
-
-## ✨ Features
-
-- Foundational model management
-- Prompt management
-- Supervised Fine Tuning
-- Model Serving
-- Self-Instruct
-- Dataset management
-- RLHF
-- Evaluation
-- AI applications, RAG, Chatbot, etc.
-- ...
-
- Still under development, **Let's see what will happen !**
+![console](./docs/asserts/preview.jpg)
 
 ## 👏 Contributors
 
 Thanks to all these contributors. You're the heroes.
 
-<a href="https://github.com/InftyAI/Llmaz/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=InftyAI/Llmaz" />
+<a href="https://github.com/InftyAI/llmaz-webui/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=InftyAI/llmaz-webui" />
 </a>

llmaz/serves/chatbot.py → console/serve/chatbot.py

@@ -1,4 +1,3 @@
-# from llmlite.apis import ChatLLM
 import torch
 
 

llmaz/serves/serve.py → console/serve/serve.py

@@ -1,4 +1,4 @@
-from llmaz.serves.chatbot import Chatbot
+from console.serve.chatbot import Chatbot
 
 
 class Serve:

llmaz/webui/engine.py → console/webui/engine.py

@@ -1,4 +1,4 @@
-from llmaz.serves.serve import Serve
+from console.serve.serve import Serve
 
 
 class Engine:

llmaz/webui/webui.py → console/webui/webui.py

@@ -3,16 +3,16 @@
 
 import gradio as gr
 
-from llmaz.webui.engine import Engine
-from llmaz.webui.webui_serving import create_serving_webui
-from llmaz.webui.webui_finetune import create_finetune_webui
-from llmaz.webui.webui_prompt import create_prompt_webui
+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="Llmaz") as blocks:
+    with gr.Blocks(title="Console") as blocks:
         #  Serving Tab
         create_serving_webui(engine)
         #  Prompt Tab

llmaz/webui/webui_finetune.py → console/webui/webui_finetune.py

@@ -1,6 +1,6 @@
 import gradio as gr
 
-from llmaz.webui.engine import Engine
+from console.webui.engine import Engine
 
 
 def create_finetune_webui(engine: Engine) -> gr.Tab:

llmaz/webui/webui_prompt.py → console/webui/webui_prompt.py

@@ -1,6 +1,6 @@
 import gradio as gr
 
-from llmaz.webui.engine import Engine
+from console.webui.engine import Engine
 
 
 def create_prompt_webui(engine: Engine) -> gr.Tab:

llmaz/webui/webui_serving.py → console/webui/webui_serving.py

@@ -1,7 +1,7 @@
 import gradio as gr
 from llmlite.apis import ChatMessage
 
-from llmaz.webui.engine import Engine
+from console.webui.engine import Engine
 
 
 loaded = False