Integrate the ChatPDF API with the Python API

Setup the ChatPDF API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate ChatPDF and Python remarkably fast. Free for developers.

Popular ChatPDF and Python Actions#

Add PDF Via URL with the ChatPDF API

Adds a PDF from a publicly accessible URL to ChatPDF, returning a source ID for interactions. See the documentation

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Chat With PDF with the ChatPDF API

Sends messages to interact with a specific PDF using its source ID. Can handle single or multiple messages for complex queries. See the documentation

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Delete PDF with the ChatPDF API

Deletes one or more PDFs from ChatPDF using their source IDs. See the documentation

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Overview of ChatPDF#

The ChatPDF API enables you to convert chat histories from various messaging platforms into PDFs. This utility can be a game-changer for archiving conversations, legal documentation, or creating backups of critical chats. With Pipedream, you can automate the conversion process and integrate it with countless apps to streamline chat management tasks. Think of pulling chat data from messaging apps, converting them to PDF, and then saving or sharing them—all set up to run on autopilot.

Connect ChatPDF#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    chatpdf: {
      type: "app",
      app: "chatpdf",
    }
  },
  async run({steps, $}) {
    const data = {
      "url": `https://www.learningcontainer.com/wp-content/uploads/2019/09/sample-pdf-file.pdf`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.chatpdf.com/v1/sources/add-url`,
      headers: {
        "x-api-key": `${this.chatpdf.$auth.api_key}`,
      },
      data,
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}