with Telegram and Claid AI?
Emit new event each time a Telegram Bot command is received.
Emit new event each time a channel post is created or updated.
Emit new event each time a Telegram message is created or updated.
Create an additional invite link for a chat, See the docs for more information
Automatically adjusts the color and lighting of an image by applying HDR. The result is an enhancement of the dynamic range in dark or overexposed images. See the documentation
Easily erases the image's background, effectively isolating the main subject. See the documentation
Edits photo or video messages. See the docs for more information
The Telegram Bot API allows you to build bots that can interact with users on the Telegram platform. Using Pipedream, you can automate messaging, handle commands, and trigger actions based on conversations or alerts. Pipedream's serverless execution model enables you to create complex workflows involving Telegram messages without managing any infrastructure. With Pipedream's integration, you can process inbound messages, send outbound notifications, and connect the Telegram Bot API with numerous other services to create powerful automation solutions.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
telegram_bot_api: {
type: "app",
app: "telegram_bot_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.telegram.org/bot${this.telegram_bot_api.$auth.token}/getMe`,
})
},
})
Claid AI API provides tools for image enhancement, including resizing, cropping, increasing resolution, and optimizing for web use. It's suitable for automating image processing tasks in applications like e-commerce, real estate, and content management. On Pipedream, you can create serverless workflows that use the Claid AI API to process images in response to various triggers, such as new file uploads or webhooks, and then pass the processed images to other services or store them.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
claid_ai: {
type: "app",
app: "claid_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.claid.ai/v1-beta1/storage/storages`,
headers: {
Authorization: `Bearer ${this.claid_ai.$auth.api_key}`,
},
})
},
})