Telegram Bot

Telegram, is a cloud-based, cross-platform, encrypted instant messaging (IM) service.

Integrate the Telegram Bot API with the Hugging Face API

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

Document Question Answering with Hugging Face API on New Message Updates (Instant) from Telegram Bot API
Telegram Bot + Hugging Face
 
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Document Question Answering with Hugging Face API on New Bot Command Received (Instant) from Telegram Bot API
Telegram Bot + Hugging Face
 
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Document Question Answering with Hugging Face API on New Channel Updates (Instant) from Telegram Bot API
Telegram Bot + Hugging Face
 
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Document Question Answering with Hugging Face API on New Updates (Instant) from Telegram Bot API
Telegram Bot + Hugging Face
 
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Image Classification with Hugging Face API on New Bot Command Received (Instant) from Telegram Bot API
Telegram Bot + Hugging Face
 
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New Bot Command Received (Instant) from the Telegram Bot API

Emit new event each time a Telegram Bot command is received.

 
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New Channel Updates (Instant) from the Telegram Bot API

Emit new event each time a channel post is created or updated.

 
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New Message Updates (Instant) from the Telegram Bot API

Emit new event each time a Telegram message is created or updated.

 
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New Updates (Instant) from the Telegram Bot API

Emit new event for each new Telegram event.

 
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Create Chat Invite Link with the Telegram Bot API

Create an additional invite link for a chat, See the docs for more information

 
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Document Question Answering with the Hugging Face API

Want to have a nice know-it-all bot that can answer any question?. This action allows you to ask a question and get an answer from a trained model. See the docs.

 
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Delete a Message with the Telegram Bot API

Deletes a message. See the docs for more information

 
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Image Classification with the Hugging Face API

This task reads some image input and outputs the likelihood of classes. This action allows you to classify images into categories. See the docs.

 
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Edit a Media Message with the Telegram Bot API

Edits photo or video messages. See the docs for more information

 
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Overview of Telegram Bot

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.

Connect Telegram Bot

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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`,
    })
  },
})

Overview of Hugging Face

The Hugging Face API provides access to a vast range of machine learning models, primarily for natural language processing (NLP) tasks like text classification, translation, summarization, and question answering. It lets you leverage pre-trained models and fine-tune them on your data. Using the API within Pipedream, you can automate workflows that involve language processing, integrate AI insights into your apps, or respond to events with AI-generated content.

Connect Hugging Face

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    hugging_face: {
      type: "app",
      app: "hugging_face",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://huggingface.co/api/whoami-v2`,
      headers: {
        Authorization: `Bearer ${this.hugging_face.$auth.access_token}`,
      },
    })
  },
})