rename opengpt by rungpt

Author: huangkaipeng4399

.github/workflows/docker-release.yml

@@ -34,29 +34,29 @@ jobs:
           echo "BUILD_DATE=$(date -u +'%Y-%m-%dT%H:%M:%SZ')" >> $GITHUB_ENV
           echo "BUILD_TARGET=clip_executor" >> $GITHUB_ENV
         
-          VERSION=$(sed -n '/^__version__ = /p' ./open_gpt/__init__.py | cut -d \' -f2)
+          VERSION=$(sed -n '/^__version__ = /p' ./rungpt/__init__.py | cut -d \' -f2)
           V_VERSION=v${VERSION}
           MINOR_VERSION=${VERSION%.*}
           MAJOR_VERSION=${MINOR_VERSION%.*}
 
           if [[ "${{ github.event.inputs.triggered_by }}" == "CD" ]]; then
             # on every CD release
             echo "TAG_ALIAS=\
-                            jinaai/open_gpt:master" \
+                            jinaai/rungpt:master" \
                             >> $GITHUB_ENV
 
           elif [[ "${{ github.event.inputs.triggered_by }}" == "TAG" ]]; then
             # on every tag release
             echo "TAG_ALIAS=\
-                            jinaai/open_gpt:latest, \
-                            jinaai/open_gpt:v${VERSION}, \
-                            jinaai/open_gpt:v${MINOR_VERSION} \
+                            jinaai/rungpt:latest, \
+                            jinaai/rungpt:v${VERSION}, \
+                            jinaai/rungpt:v${MINOR_VERSION} \
                             " >> $GITHUB_ENV
             
           elif [[ "${{ github.event.inputs.triggered_by }}" == "MANUAL" ]]; then
             # on every manual release
             echo "TAG_ALIAS=\
-                            jinaai/open_gpt:v${VERSION} \
+                            jinaai/rungpt:v${VERSION} \
                             " >> $GITHUB_ENV
           else
             echo "Bad triggered_by: ${{ github.event.inputs.triggered_by }}!"
@@ -86,7 +86,7 @@ jobs:
         with:
           file: Dockerfiles/Dockerfile
           platforms: linux/amd64
-          cache-from: type=registry,ref=jinaai/open_gpt:latest
+          cache-from: type=registry,ref=jinaai/rungpt:latest
           cache-to: type=inline
           push: true
           tags: ${{env.TAG_ALIAS}}
@@ -101,10 +101,10 @@ jobs:
         with:
           file: Dockerfiles/gateway.Dockerfile
           platforms: linux/amd64
-          cache-from: type=registry,ref=jinaai/open_gpt_gateway:latest
+          cache-from: type=registry,ref=jinaai/run_gpt_gateway:latest
           cache-to: type=inline
           push: true
-          tags: jinaai/open_gpt_gateway:v${{env.VERSION}}, jinaai/open_gpt_gateway:latest
+          tags: jinaai/run_gpt_gateway:v${{env.VERSION}}, jinaai/run_gpt_gateway:latest
           build-args: |
             BUILD_DATE=${{env.BUILD_DATE}}
             VERSION=${{env.VERSION}}
@@ -116,10 +116,10 @@ jobs:
         with:
           file: Dockerfiles/executor.Dockerfile
           platforms: linux/amd64
-          cache-from: type=registry,ref=jinaai/open_gpt_executor:latest
+          cache-from: type=registry,ref=jinaai/run_gpt_executor:latest
           cache-to: type=inline
           push: true
-          tags: jinaai/open_gpt_executor:v${{env.VERSION}}, jinaai/open_gpt_executor:latest
+          tags: jinaai/run_gpt_executor:v${{env.VERSION}}, jinaai/run_gpt_executor:latest
           build-args: |
             BUILD_DATE=${{env.BUILD_DATE}}
             VERSION=${{env.VERSION}}

.github/workflows/docs.yml

@@ -9,12 +9,12 @@ jobs:
     steps:
       - uses: actions/checkout@v3
         with:
-          path: opengpt
+          path: rungpt
       - uses: actions/checkout@v3
         with:
-          repository: numb3r3/opengpt.github.io.git
+          repository: numb3r3/rungpt.github.io.git
           ref: 'main'
-          path: ./opengpt.github.io
+          path: ./rungpt.github.io
           token: ${{ secrets.GH_TEST_TOKEN }}
       - uses: actions/setup-python@v2
         with:
@@ -23,5 +23,5 @@ jobs:
           pip install pillow cairosvg
           sudo apt-get install -y libcairo2-dev libfreetype6-dev libffi-dev libjpeg-dev libpng-dev libz-dev
           pip install mkdocs-material mkdocs-material-extensions mkdocs-redirects --upgrade
-          mkdocs gh-deploy --config-file ../opengpt/mkdocs.yml --force
-        working-directory: ./opengpt.github.io
+          mkdocs gh-deploy --config-file ../rungpt/mkdocs.yml --force
+        working-directory: ./rungpt.github.io

.github/workflows/force-release.yml

@@ -42,7 +42,7 @@ jobs:
           echo "VCS_REF=$VCS_REF" >> $GITHUB_ENV
           echo "Will build $VCS_REF"
           
-          VERSION=$(sed -n '/^__version__ = /p' ./open_gpt/__init__.py | cut -d \' -f2)
+          VERSION=$(sed -n '/^__version__ = /p' ./run_gpt/__init__.py | cut -d \' -f2)
           
           echo "VERSION=$VERSION" >> $GITHUB_ENV
 

.github/workflows/release.yml

@@ -28,7 +28,7 @@ jobs:
           echo "VCS_REF=$VCS_REF" >> $GITHUB_ENV
           echo "Will build $VCS_REF"
 
-          VERSION=$(sed -n '/^__version__ = /p' ./open_gpt/__init__.py | cut -d \' -f2)
+          VERSION=$(sed -n '/^__version__ = /p' ./run_gpt/__init__.py | cut -d \' -f2)
 
           echo "VERSION=$VERSION" >> $GITHUB_ENV
 

.pre-commit-config.yaml

@@ -3,7 +3,7 @@ repos:
     rev: 4.0.1
     hooks:
     -   id: flake8
-        exclude: ^(.git|__pycache__|docs/source/conf.py|old|build|dist|tests|open_gpt/resources/)
+        exclude: ^(.git|__pycache__|docs/source/conf.py|old|build|dist|tests|run_gpt/resources/)
         args:
           - --max-complexity=10
           - --max-line-length=127
@@ -12,8 +12,8 @@ repos:
 #  rev: v1.5.8
 #  hooks:
 #  - id: darglint
-#    files: open_gpt/
-#    exclude: ^(docs/|open_gpt/resources/)
+#    files: run_gpt/
+#    exclude: ^(docs/|run_gpt/resources/)
 #    args:
 #    - --message-template={path}:{line} {msg_id} {msg}
 #    - -s=sphinx
@@ -24,15 +24,15 @@ repos:
   hooks:
   -   id: pydocstyle
       files: client/
-      exclude: ^(docs/|open_gpt/resources/)
+      exclude: ^(docs/|run_gpt/resources/)
       args:
       - --select=D101,D102,D103
 - repo: https://github.com/ambv/black
   rev: 22.3.0
   hooks:
   - id: black
     types: [python]
-    exclude: ^(docs/|open_gpt/resources/)
+    exclude: ^(docs/|run_gpt/resources/)
     args:
       - -S
 - repo: https://github.com/asottile/blacken-docs

Dockerfiles/Dockerfile

@@ -8,9 +8,9 @@ FROM mosaicml/pytorch:${TORCH_VERSION}_cu${CUDA_VERSION}-python3.10-ubuntu20.04
 ENV DEBIAN_FRONTEND=noninteractive LANG=en_US.UTF-8 LC_ALL=en_US.UTF-8
 
 # copy will almost always invalid the cache
-COPY . /open_gpt/
-WORKDIR /open_gpt
+COPY . /run_gpt/
+WORKDIR /run_gpt
 
 RUN python3 -m pip install -e .
 
-ENTRYPOINT ["opengpt"]
+ENTRYPOINT ["rungpt"]

MODEL_ZOO.md

@@ -1,6 +1,6 @@
-# Model Zoo in OpenGPT
+# Model Zoo in RunGPT
 
-OpenGPT supports the following models out of the box:
+RunGPT supports the following models out of the box:
 
 - LLM (Large Language Model)
 

README.md

@@ -1,7 +1,7 @@
-# ☄️ OpenGPT
+# ☄️ RunGPT
 
 <p align="center">
-<a href="https://github.com/jina-ai/opengpt"><img src="https://github.com/jina-ai/opengpt/blob/main/.github/images/logo.png" alt="OpenGPT: An open-source cloud-native large-scale multimodal model serving framework" width="300px"></a>
+<a href="https://github.com/jina-ai/rungpt"><img src="https://github.com/jina-ai/rungpt/blob/main/.github/images/logo.png" alt="rungpt: An open-source cloud-native large-scale multimodal model serving framework" width="300px"></a>
 <br>
 </p>
 
@@ -11,10 +11,10 @@
 
 
 ![](https://img.shields.io/badge/Made%20with-JinaAI-blueviolet?style=flat)
-[![PyPI](https://img.shields.io/pypi/v/open_gpt_torch)](https://pypi.org/project/open_gpt_torch/)
-[![PyPI - License](https://img.shields.io/pypi/l/open_gpt_torch)](https://pypi.org/project/open_gpt_torch/)
+[![PyPI](https://img.shields.io/pypi/v/run_gpt_torch)](https://pypi.org/project/run_gpt_torch/)
+[![PyPI - License](https://img.shields.io/pypi/l/run_gpt_torch)](https://pypi.org/project/run_gpt_torch/)
 
-**OpenGPT** is an open-source _cloud-native_ large-scale **_multimodal models_** (LMMs) serving framework. 
+**RunGPT** is an open-source _cloud-native_ large-scale **_multimodal models_** (LMMs) serving framework. 
 It is designed to simplify the deployment and management of large language models, on a distributed cluster of GPUs.
 We aim to make it a one-stop solution for a centralized and accessible place to gather techniques for optimizing large-scale multimodal models and make them easy to use for everyone.
 
@@ -30,7 +30,7 @@ We aim to make it a one-stop solution for a centralized and accessible place to
 
 ## Features
 
-OpenGPT provides the following features to make it easy to deploy and serve **large multi-modal models** (LMMs) at scale:
+RunGPT provides the following features to make it easy to deploy and serve **large multi-modal models** (LMMs) at scale:
 
 - Support for multi-modal models on top of large language models
 - Scalable architecture for handling high traffic loads
@@ -41,13 +41,13 @@ OpenGPT provides the following features to make it easy to deploy and serve **la
 
 ## Updates
 
-- **2023-05-12**: 🎉We have released the first version `v0.0.1` of OpenGPT. You can install it with `pip install open_gpt_torch`.
+- **2023-05-12**: 🎉We have released the first version `v0.0.1` of RunGPT. You can install it with `pip install run_gpt_torch`.
 
 ## Supported Models
 
 <details>
 
-OpenGPT supports the following models out of the box:
+RunGPT supports the following models out of the box:
 
 - LLM (Large Language Model)
 
@@ -69,7 +69,7 @@ For more details about the supported models, please see the [Model Zoo](./MODEL_
 
 ## Roadmap
 
-You can view our roadmap with features that are planned, started, and completed on the [Roadmap discussion](https://github.com/jina-ai/opengpt/discussions/categories/roadmap) category.
+You can view our roadmap with features that are planned, started, and completed on the [Roadmap discussion](https://github.com/jina-ai/rungpt/discussions/categories/roadmap) category.
 
 ## Get Started
 
@@ -78,15 +78,15 @@ You can view our roadmap with features that are planned, started, and completed
 Install the package with `pip`:
 
 ```bash
-pip install open_gpt_torch
+pip install run_gpt_torch
 ```
 
 ### Quickstart
 
 ```python
-import open_gpt
+import run_gpt
 
-model = open_gpt.create_model(
+model = run_gpt.create_model(
     'stabilityai/stablelm-tuned-alpha-3b', device='cuda', precision='fp16'
 )
 
@@ -117,7 +117,7 @@ We use the [stabilityai/stablelm-tuned-alpha-3b](https://huggingface.co/stabilit
 In most cases of large model serving, the model cannot fit into a single GPU. To solve this problem, we also provide a `device_map` option (supported by `accecleate` package) to automatically partition the model and distribute it across multiple GPUs:
 
 ```python
-model = open_gpt.create_model(
+model = run_gpt.create_model(
     'stabilityai/stablelm-tuned-alpha-3b', precision='fp16', device_map='balanced'
 )
 ```
@@ -128,24 +128,24 @@ In the above example, `device_map="balanced"` evenly split the model on all avai
 > The `device_map` option is supported by the [accelerate](https://github.com/huggingface/accelerate) package. 
 
 
-See [examples on how to use opengpt with different models.](./examples) 🔥
+See [examples on how to use rungpt with different models.](./examples) 🔥
 
 
 ## Build a model serving in one line
 
 To do so, you can use the `serve` command:
 
 ```bash
-opengpt serve stabilityai/stablelm-tuned-alpha-3b --precision fp16 --device_map balanced
+rungpt serve stabilityai/stablelm-tuned-alpha-3b --precision fp16 --device_map balanced
 ```
 
-💡 **Tip**: you can inspect the available options with `opengpt serve --help`.
+💡 **Tip**: you can inspect the available options with `rungpt serve --help`.
 
 This will start a gRPC and HTTP server listening on port `51000` and `52000` respectively. 
 Once the server is ready, as shown below:
 <details>
 <summary>Click to expand</summary>
-<img src="https://github.com/jina-ai/opengpt/blob/main/.github/images/serve_ready.png" width="600px">
+<img src="https://github.com/jina-ai/rungpt/blob/main/.github/images/serve_ready.png" width="600px">
 </details>
 
 You can then send requests to the server:
@@ -173,7 +173,7 @@ response = requests.post(
 What's more, we also provide a [Python client](https://github.com/jina-ai/inference-client/) (`inference-client`) for you to easily interact with the server:
 
 ```python
-from open_gpt import Client
+from run_gpt import Client
 
 client = Client()
 
@@ -206,7 +206,7 @@ To do so, you can use `deploy` command:
 using predefined executor
 
 ```bash
-opengpt deploy stabilityai/stablelm-tuned-alpha-3b --precision fp16 --device_map balanced --cloud jina --replicas 1
+rungpt deploy stabilityai/stablelm-tuned-alpha-3b --precision fp16 --device_map balanced --cloud jina --replicas 1
 ```
 
 It will give you a HTTP url and a gRPC url by default:
@@ -226,4 +226,4 @@ We welcome contributions from the community! To contribute, please submit a pull
 
 ## License
 
-OpenGPT is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.
+Rungpt is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.

docs/docs/index.md

@@ -1,18 +1,18 @@
 # Quick start
 
-`opengpt` is an open-source _cloud-native_ large-scale **_multimodal models_** (LMMs) serving framework. 
+`rungpt` is an open-source _cloud-native_ large-scale **_multimodal models_** (LMMs) serving framework. 
 It is designed to simplify the deployment and management of large language models, on a distributed cluster of GPUs.
 We aim to make it a one-stop solution for a centralized and accessible place to gather techniques for optimizing large-scale multimodal models and make them easy to use for everyone.
 
 
 ## Installation and setup
 
-To use `opengpt`, install it with `pip`:
+To use `rungpt`, install it with `pip`:
 
 <div class="termy">
 
 ```shell
-$ pip install open_gpt_torch
+$ pip install run_gpt_torch
 ```
 
 </div>
@@ -25,9 +25,9 @@ We use the [stabilityai/stablelm-tuned-alpha-3b](https://huggingface.co/stabilit
 <div class="termy">
 
 ```python
-import open_gpt
+import run_gpt
 
-model = open_gpt.create_model(
+model = run_gpt.create_model(
     'stabilityai/stablelm-tuned-alpha-3b', device='cuda', precision='fp16'
 )
 

docs/overrides/home.html

@@ -23,9 +23,9 @@
         <div class="tx-landing__hero">
             <div class="tx-landing__hero_text">
                 <h1>Run LLM faster and easier. Use any cloud.</h1>
-                <p>opengpt allows you to run your large-scale multi-modal models on any cloud, with a single command.</p>
+                <p>rungpt allows you to run your large-scale multi-modal models on any cloud, with a single command.</p>
 
-                <p>opengpt is open-source, self-hosted, and supports all major cloud providers,
+                <p>rungpt is open-source, self-hosted, and supports all major cloud providers,
                     including AWS, GCP, and Azure.</p>
 
                 <a href="/docs" class="md-button md-button--primary">
@@ -158,13 +158,13 @@ <h2>Open-source and self-hosted
                             d="M12 1.5A2.5 2.5 0 0 1 14.5 4 2.5 2.5 0 0 1 12 6.5 2.5 2.5 0 0 1 9.5 4 2.5 2.5 0 0 1 12 1.5M15.87 5C18 5 20 7 20 9c2.7 0 2.7 4 0 4H4c-2.7 0-2.7-4 0-4 0-2 2-4 4.13-4 .44 1.73 2.01 3 3.87 3 1.86 0 3.43-1.27 3.87-3M5 15h3l1 7H7l-2-7m5 0h4l-1 7h-2l-1-7m6 0h3l-2 7h-2l1-7Z"></path></svg></span>
                 </h2>
                 <p class="tx-landing__bottom_cta_text">
-                    Getting started with opengpt's <a href="https://github.com/jina-ai/opengpt">open source</a> tool is
+                    Getting started with rungpt's <a href="https://github.com/jina-ai/rungpt">open source</a> tool is
                     just a mater of:
                 </p>
                 <div class="tx-landing__bottom_cta_terminal">
                     <div class="tx-landing__bottom_cta_terminal_row">
                         <span class="tx-landing__bottom_cta_terminal_row_prefix">$</span>
-                        pip install "open_gpt_torch"
+                        pip install "run_gpt_torch"
                     </div>
                 </div>
                 <p class="tx-landing__bottom_cta_text">

docs/overrides/main.html

@@ -1,9 +1,9 @@
 {% extends "base.html" %}
 
 {% block announce %}
-Like opengpt? Give us a <img alt="⭐" style="display: inline-block; height: 1.125em; margin-bottom: -2px"
+Like rungpt? Give us a <img alt="⭐" style="display: inline-block; height: 1.125em; margin-bottom: -2px"
                             src="https://cdnjs.cloudflare.com/ajax/libs/twemoji/14.0.2/svg/2b50.svg">
 on <img style="display: inline-block; height: 1.15em; margin-bottom: -4px; margin-right: -2px"
-        src="{{ 'assets/images/github-logo.png' | url }}"/> <a href="https://github.com/jina-ai/opengpt" target="_blank">
+        src="{{ 'assets/images/github-logo.png' | url }}"/> <a href="https://github.com/jina-ai/rungpt" target="_blank">
     GitHub</a><span style="color: var(--md-code-hl-punctuation-color)">!</span>
 {% endblock %}