zeke/cog-markdown-example – Run with an API on Replicate

zeke / cog-markdown-example

Cold

Public
16 runs
CPU

Run with an API

Playground API Examples README Versions

Input

markdown

string

Shift + Return to add a new line

```py
def allow_iframe_youtube(tag, name, value):
    if name == "src" and value.startswith("https://www.youtube.com/embed/"):
        return True
    if name in ("allow", "width", "height"):
        return True
    return False


def allow_fenced_code_languages(tag, name, value):
    return (
        tag == "code"
        and name == "class"
        and value.startswith("language-")
        and " " not in value
    )
``````py
def allow_iframe_youtube(tag, name, value):
    if name == "src" and value.startswith("https://www.youtube.com/embed/"):
        return True
    if name in ("allow", "width", "height"):
        return True
    return False


def allow_fenced_code_languages(tag, name, value):
    return (
        tag == "code"
        and name == "class"
        and value.startswith("language-")
        and " " not in value
    )
```

Markdown text

Default: "```py\nprint(\"hello world\")\n```"

Run this model in Node.js with one line of code:

npx create-replicate --model=zeke/cog-markdown-example

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run zeke/cog-markdown-example using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zeke/cog-markdown-example:146e98d6b010c431f601ac8482d7f0f9562730c8e82f93f9ad6eff711f95023a",
  {
    input: {
      markdown: "```py\ndef allow_iframe_youtube(tag, name, value):\n    if name == \"src\" and value.startswith(\"https://www.youtube.com/embed/\"):\n        return True\n    if name in (\"allow\", \"width\", \"height\"):\n        return True\n    return False\n\n\ndef allow_fenced_code_languages(tag, name, value):\n    return (\n        tag == \"code\"\n        and name == \"class\"\n        and value.startswith(\"language-\")\n        and \" \" not in value\n    )\n```"
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run zeke/cog-markdown-example using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zeke/cog-markdown-example:146e98d6b010c431f601ac8482d7f0f9562730c8e82f93f9ad6eff711f95023a",
    input={
        "markdown": "```py\ndef allow_iframe_youtube(tag, name, value):\n    if name == \"src\" and value.startswith(\"https://www.youtube.com/embed/\"):\n        return True\n    if name in (\"allow\", \"width\", \"height\"):\n        return True\n    return False\n\n\ndef allow_fenced_code_languages(tag, name, value):\n    return (\n        tag == \"code\"\n        and name == \"class\"\n        and value.startswith(\"language-\")\n        and \" \" not in value\n    )\n```"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run zeke/cog-markdown-example using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "146e98d6b010c431f601ac8482d7f0f9562730c8e82f93f9ad6eff711f95023a",
    "input": {
      "markdown": "```py\\ndef allow_iframe_youtube(tag, name, value):\\n    if name == \\"src\\" and value.startswith(\\"https://www.youtube.com/embed/\\"):\\n        return True\\n    if name in (\\"allow\\", \\"width\\", \\"height\\"):\\n        return True\\n    return False\\n\\n\\ndef allow_fenced_code_languages(tag, name, value):\\n    return (\\n        tag == \\"code\\"\\n        and name == \\"class\\"\\n        and value.startswith(\\"language-\\")\\n        and \\" \\" not in value\\n    )\\n```"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/zeke/cog-markdown-example@sha256:146e98d6b010c431f601ac8482d7f0f9562730c8e82f93f9ad6eff711f95023a \
  -i $'markdown="```py\\ndef allow_iframe_youtube(tag, name, value):\\n    if name == \\"src\\" and value.startswith(\\"https://www.youtube.com/embed/\\"):\\n        return True\\n    if name in (\\"allow\\", \\"width\\", \\"height\\"):\\n        return True\\n    return False\\n\\n\\ndef allow_fenced_code_languages(tag, name, value):\\n    return (\\n        tag == \\"code\\"\\n        and name == \\"class\\"\\n        and value.startswith(\\"language-\\")\\n        and \\" \\" not in value\\n    )\\n```"'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 r8.im/zeke/cog-markdown-example@sha256:146e98d6b010c431f601ac8482d7f0f9562730c8e82f93f9ad6eff711f95023a
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "markdown": "```py\\ndef allow_iframe_youtube(tag, name, value):\\n    if name == \\"src\\" and value.startswith(\\"https://www.youtube.com/embed/\\"):\\n        return True\\n    if name in (\\"allow\\", \\"width\\", \\"height\\"):\\n        return True\\n    return False\\n\\n\\ndef allow_fenced_code_languages(tag, name, value):\\n    return (\\n        tag == \\"code\\"\\n        and name == \\"class\\"\\n        and value.startswith(\\"language-\\")\\n        and \\" \\" not in value\\n    )\\n```"
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

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Run time and cost

This model runs on CPU hardware. We don't yet have enough runs of this model to provide performance information.

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