generate_readme.py

import json

with open('content.json', 'r') as f:
    data = json.load(f)

model_metadata = {}
for type in data["types"]:
    model_metadata[type] = []

for model in data["models"]:
    model_metadata[model["type"]].append(model)

def render_model_line(model):
    return "* **" + model["name"] + "** - " + model["description"] + " [Download](" + data["model_download_url_prefix"] + model["file"] + ") | [Demo](" + model["demo_link"] + ") | [Reference](" + model["reference_link"] + ")\n"

content = """
<img src="images/coreml.png" width="150" height="150"/>

# Awesome Core ML Models

We've put up the largest collection of machine learning models that work with Apples Core ML standard, to help iOS developers experiment with machine learning techniques. If you've converted a Core ML model and feel free to submit a PR here.

[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)
[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](http://makeapullrequest.com)

# Models

## Image
*Models that process image data*
"""

for model in model_metadata["image"]:
    content += render_model_line(model)

content += """
## Text
*Models that process text data*
"""

for model in model_metadata["text"]:
    content += render_model_line(model)

content += "## Others\n"

for model in model_metadata["others"]:
    content += render_model_line(model)

content += """
# The Gold
*Collections of machine learning models that could be converted to Core ML*

* [Caffe Model Zoo](https://github.com/BVLC/caffe/wiki/Model-Zoo) - Big list of models in Caffe format.
* [TensorFlow Models](https://github.com/tensorflow/models) - Models for TensorFlow.
* [TensorFlow Slim Models](https://github.com/tensorflow/models/blob/master/slim/README.md) - Another collection of TensorFlow Models.

# Contributing and License
* [See the guide](https://github.com/likedan/Awesome-CoreML-Models/blob/master/.github/CONTRIBUTING.md)
* Distributed under the MIT license. See LICENSE for more information.
"""

with open("README.md", 'w') as out:
    out.write(content + '\n')