🚀 🚀 🚀 First launch of MLChain

.gitignore

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+__pycache__
+.vscode/
+build
+dist
+mlchain.egg-info
+*.idea
+.pyc
+test/*
+.pytest_cache

.travis.yml

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+language: python
+arch:
+  - amd64
+python:
+  - 3.6
+  - 3.7
+jobs:
+  include:
+    #  ====== WINDOWS =========
+    - name: "Python 3.6.8 on Windows"
+      os: windows           # Windows 10.0.17134 N/A Build 17134
+      language: shell       # 'language: python' is an error on Travis CI Windows
+      before_install:
+        - choco install python --version 3.6.8
+        - python -m pip install scikit-build
+        - python -m pip install pytest
+      install:
+        - python --version
+        - python -m pip install .
+      script:
+        - pip install pytest
+        - pytest tests/
+      env: PATH=/c/Python36:/c/Python36/Scripts:$PATH
+    - name: "Python 3.7.4 on Windows"
+      os: windows           # Windows 10.0.17134 N/A Build 17134
+      language: shell       # 'language: python' is an error on Travis CI Windows
+      before_install:
+        - choco install python --version 3.7.4
+        - python -m pip install scikit-build
+        - python -m pip install pytest
+      install:
+        - python --version
+        - python -m pip install .
+      script:
+        - pip install pytest
+        - pytest tests/
+      env: PATH=/c/Python37:/c/Python37/Scripts:$PATH
+
+before_install:
+  - sudo apt-get update
+  - sudo apt-get install -y software-properties-common
+  - sudo apt-get update
+  - sudo apt-get install -y --no-install-recommends build-essential gcc
+  - pip install scikit-build
+  - pip install pytest
+install:
+  - python --version
+  - pip install .
+script:
+  - pip install pytest
+  - pytest tests/

LICENSE

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+MIT License
+
+Copyright (c) 2019 Techainer
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

LICENSE.txt

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+The MIT License (MIT)
+
+Copyright (c) 2018 Techainer
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.

MANIFEST.in

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+include LICENSE *.rst *.toml *.yml *.yaml
+graft .github
+
+# Frontend
+recursive-include mlchain/ *.css
+recursive-include mlchain/ *.html
+recursive-include mlchain/ *.woff2
+recursive-include mlchain/ *.ico
+recursive-include mlchain/ *.js
+recursive-include mlchain/ *.png

README.md

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+<p align="center">
+  <a href="https://mlchain.ml" target="_blank">
+    <img src="docs/img/logo.png" target="_blank" height="80"/>
+  </a><br><br>
+  <i> <strong>MLChain:</strong> Auto-Magical Deploy AI model at large scale, high performance, and easy to use </i> <br>
+  <a href="https://mlchain.readthedocs.io/en/latest/?" target="_blank">
+  <br>
+    <strong> Explore the docs » </strong>
+  </a> <br>
+  <a href="https://mlchain.ml" target="_blank"> Our Website </a>
+    ·
+  <a href="https://github.com/techainer/examples-python" target="_blank"> Examples in Python </a>
+</p>
+
+
+[![PyPI version](https://badge.fury.io/py/mlchain.svg)](https://badge.fury.io/py/mlchain)
+[![Downloads](https://pepy.tech/badge/mlchain)](https://pepy.tech/project/mlchain)
+[![Build Status](https://travis-ci.org/Techainer/mlchain-python.svg?branch=master)](https://travis-ci.org/Techainer/mlchain-python)
+[![Documentation Status](https://readthedocs.org/projects/mlchain/badge/?version=latest)](https://mlchain.readthedocs.io/en/latest/?badge=latest)
+[![license](https://img.shields.io/badge/License-MIT-blue.svg)](https://github.com/Techainer/mlchain-python/blob/master/LICENSE)
+</div>
+
+
+MLChain is a simple, easy to use library that allows you to deploy your Machine Learning
+model to hosting server easily and efficiently, drastically reducing the time required 
+to build API that support an end-to-end AI product.
+
+## Key features
+
+- <b> Fast: </b> MLChain prioritize speed above other criteria.
+
+- <b> Fast to code: </b> With a finished Machine Learning model, it takes 4 minutes on average 
+  to deploy a fully functioning API with MLChain.
+
+- <b> Flexible: </b> The nature of ML-Chain allows developing end-to-end adaptive, with 
+  varied serializer and framework hosting at your choice.
+
+- <b> Less debugging </b>: We get it. Humans make mistakes. With MLChain, its configuration makes debugging a lot easier and almost unnecessary.
+
+- <b> Easy to code: </b> as a piece of cake!
+
+- <b> Standards-based: </b> Based on the open standards for APIs: OpenAPI (previously known as Swagger), along with JSON Schema and other options.
+
+
+## Installation
+
+### PyPI
+To install latest stable version of MLChain, simply run:
+```bash
+pip install mlchain
+```
+
+![](docs/img/README/mlchain.gif)
+
+### Build from source
+To install latest changes from `master` branch, run the following:
+```bash
+git clone https://github.com/Techainer/mlchain-python
+cd mlchain-python
+pip install -r requirements.txt
+python setup.py install
+```
+
+## Documentation
+Read ours documentation [here](https://mlchain.ml)
+
+
+## Demo
+Here's a minimal example of serving a dummy python class
+
+Create a `main.py` file with:
+
+```python
+from mlchain.base import ServeModel
+
+class Model():
+    def __init__(self):
+        self.ans = 10
+
+    def predict(self):
+        return self.ans
+
+# Define model
+model = Model()
+
+# Serve model
+serve_model = ServeModel(model)`
+
+# Deploy model
+if __name__ == '__main__':
+    from mlchain.rpc.server.flask_server import FlaskServer
+    FlaskServer(serve_model).run(port=5000,threads=12) # Run flask model with upto 12 threads
+```
+Now run:
+
+```bash
+python3 main.py
+```
+
+Now you can access your api at http://localhost:5000
+
+## Other examples
+- Serving MNIST using mlchain: https://github.com/Techainer/mnist-mlchain-examples

README.rst

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+Mlchain helps AI developers to easily run, deploy and monitor AI models and Workflows without having Devops skills. 
+
+This Mlchain Python library lets you launch models and do many tasks with Mlchain Platform. Please sign up your account on Mlchain before working with it. 

build_wheel.sh

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+python3 setup.py bdist_wheel

docs/.env

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+appdirs==1.4.0
+click==6.7
+Jinja2==2.9.6
+livereload==2.5.1
+Markdown==2.6.8
+markdown-include==0.5.1
+MarkupSafe==1.0
+mkdocs==0.16.3
+mkdocs-bootstrap==0.1.1
+mkdocs-bootswatch==0.4.0
+mkdocs-material==1.8.0
+packaging==16.8
+Pygments==2.2.0
+pymdown-extensions==3.5
+pyparsing==2.1.10
+PyYAML==3.12
+six==1.10.0
+tornado==4.5.1

docs/0_Quick_Deploy/quick_deploy.md

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+# Deploy your model in 20 seconds
+
+Implement our model
+
+```python
+
+class Model:
+    def _init__(self):
+        self.model = torch.load(...)
+
+    def predict(self, img:nd.array):
+        return self.model(img)
+
+    def predict_batch(self, imgs:List(nd.array)):
+        return self.model(img for img in imgs)
+```
+
+### Deploy with Python/Flask (bad)
+
+```python
+import flask
+import json
+import time
+
+app = flask.Flask(__name__)
+app.config["DEBUG"] = True
+
+model = Model()
+
+@app.route('/predict/<img>', methods=['GET'])
+def predict(img):
+    start = time.time()
+    ans = model.predict(img)
+    total_time = time.time() - start
+    final_return = {'Time': total_time, 'result': ans}
+    return json.dump(final_return)
+
+@app.route('/predict/<imgs>', methods=['POST', 'GET'])
+def predict_batch(imgs):
+    final_return = []
+    for img in imgs:
+        start = time.time()
+        ans = model.predict(img)
+        total_time = time.time() - start
+        final_dict = {'Time': total_time, 'result': ans}
+        final_return.append(final_dict)
+    return json.dump(final_return)
+
+app.run()
+```
+
+### Deploy with MLChain (good)
+
+```python
+from mlchain.base import ServeModel 
+model = Model()
+serve_model = ServeModel(model)
+```
+
+On top of that,