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with ChatPDF and Nano Nets?
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Popular ChatPDF and Nano Nets Actions#
Adds a PDF from a publicly accessible URL to ChatPDF, returning a source ID for interactions. See the documentation
Sends messages to interact with a specific PDF using its source ID. Can handle single or multiple messages for complex queries. See the documentation
Deletes one or more PDFs from ChatPDF using their source IDs. See the documentation
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 Nano Nets#
The Nano Nets API offers machine learning capabilities to classify images, extract data, and automate processes with custom models. Through Pipedream's serverless platform, you can trigger workflows from various events, manipulate and route data from the Nano Nets API, and connect it to hundreds of other apps to automate complex tasks. Pipedream's built-in code steps also allow you to transform data, make HTTP requests, and handle logic right inside your workflows.
Connect Nano Nets#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
nano_nets: {
type: "app",
app: "nano_nets",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.nanonets.com/api/v2/OCR/Model/{your_model_id_here}`,
auth: {
username: `${this.nano_nets.$auth.api_key}`,
password: ``,
},
})
},
})
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