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Creating chatbot in Telegram

Aisha Babayeva

Created on March 27, 2025

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Creating chatbot in Telegram

Content

1. Introduction to Chatbots and Telegram API

5. Processing Chat Events and User Input

9. Presenting the Chatbot. Criterion C

6. Enhancing Chatbot Features – User Personalization

.Creating a Database of Answers by Keywords

2. Setting up a Telegram Bot

7. Testing, Debugging, and Improving the Chatbot

3. Python Libraries for Telegram Bots

8. Final Project – Building a Functional Chatbot

4. Designing a Chatbot Conversation Flow

Creating chatbot in Telegram

Unit name: Creating chatbot in TelegramStatement of inquiry: The innovation development of interactive expressions allows you to communicate effectively in society. Key concept: Communication Related concept: Development and Innovation Global context: Personal and cultural expression

Lesson 1. Introduction to Chatbots and Telegram API

ATL skills

Identify the purpose and uses of chatbots in modern applications.

Analyze examples of chatbot interactions to understand their structure.

Explain how the Telegram API enables chatbot communication.

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Lesson 2. Setting up a Telegram Bot

ATL skills

Describe the process of creating a bot on Telegram.

Demonstrate how to generate a bot token using BotFather.

Execute basic bot commands and test bot functionality.

Lesson 3: Understanding Python Libraries for Telegram Bots

ATL skills

1. Identify key Python libraries used for Telegram bot development.

2. Compare different Python libraries for their features and use cases.

3. Select a chatbot topic and outline how to develop it using Python.

Lesson 4. To Design a Chatbot Conversation Flow

ATL skills

1. Define chatbot conversation flow and its importance in user interaction.

2. Analyze the instrument for conversation structures and their effectiveness.

3. Create a conversation flow diagram for a chosen chatbot topic.

Reflection

Lesson 5. Processing Chat Events and User Input

ATL skills

1. Define chatbot conversation flow and its importance in user interaction.

2. Analyze the instrument for conversation structures and their effectiveness.

3. Create a conversation flow diagram for a chosen chatbot topic.

Reflection

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Process

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Process

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Thanks for your attention!

A chatbot conversation flow determines how a bot interacts with users, guiding them from an initial message to the final response. A well-designed flow ensures smooth communication, reducing user frustration and improving engagement. Key elements of a conversation flow:

  • Greeting: How the bot introduces itself.
  • User Intent Recognition: Understanding what the user wants.
  • Response Generation: Providing useful and relevant replies.
  • Error Handling: Dealing with unrecognized inputs.

Activity: In small groups, create a real chatbot conversation, identifying its greeting, user intents, responses, and error-handling mechanisms in a paper.

Telegram API

Telegram provides a Bot API, allowing developers to create chatbots that send and receive messages, process commands, and integrate with other services. Unlike regular user accounts, bots do not require a phone number.

  • Activity:
Explore an existing Telegram bot (like a weather bot or translation bot) and analyze its features.

ATL Skills:

Research – Exploring Python libraries used for building Telegram bots. Critical Thinking – Evaluating the best library for different chatbot functionalities. Transfer – Applying Python skills to Telegram bot development.

ATL Skills:

Critical Thinking – Analyzing the role of chatbots in automation and their impact on society. Communication – Effectively describing chatbot functionalities and Telegram API concepts. Research – Exploring how chatbots interact with users through APIs and real-world applications.

Reflection

  • Why is a well-structured conversation flow important for chatbot success?
  • What challenges did you face when designing your chatbot flow?
  • How can you improve your chatbot’s conversation for a better user experience?

Compare different Python libraries for their features

Activity: Comparison Chart: Students create a table comparing advantages and disadvantages of these libraries.

Each library has unique strengths: python-telegram-bot – Easy to use, best for beginners. Aiogram – Faster, handles multiple users efficiently. Telepot – Simple but lacks advanced features.

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Selecting a chatbot topic

Find the document with topic suggestions in Toddle resources

Choose topic here

Examples of chatbot interactions

There are two main types of chatbots: Rule-based chatbots – Follow pre-programmed rules and respond to specific commands. AI-driven chatbots – Use machine learning and natural language processing (NLP) to understand user intent.

  • Activity:
Task: Compare a rule-based chatbot and an AI chatbot, identifying their strengths and limitations.

Execute basic bot commands and test bot functionality

Bots can respond to messages and commands. Basic commands include: /start – Activates the bot /help – Displays available commands /echo – Repeats the user’s message Activity: Testing Task: Students send basic commands to their bot and observe the responses.

Identify key Python libraries for Telegram bot development

Python offers several libraries for creating Telegram bots: python-telegram-bot – Most popular, supports API integration. Telepot – Lightweight, good for handling multiple messages at once. Aiogram – Asynchronous, suitable for high-performance bots.

  • Activity:
Research Task: Explore documentation for one library and summarize its key features.
Generating a bot token using BotFather

After creating a bot, BotFather provides a unique bot token, which is needed for API integration. This token acts as a key to control and manage the bot’s actions. Activity: Pair Work: Retrieve their bot token and discuss how it is used for authentication in Telegram’s Bot API.

Reflection

  • Which Python library do you think is best for your chatbot? Why?
  • What challenges do you anticipate when developing your chatbot?
  • How can chatbots improve user experience in different fields?

What is a Chatbot?

A chatbot is an AI-powered software designed to simulate human conversation. It interacts with users via text or voice and is widely used in customer support, virtual assistants, and automation. Chatbots improve efficiency by providing instant responses and handling repetitive tasks.

  • Activity:
Group Discussion: Where have you encountered chatbots in real life? (Examples: customer support, smart assistants like Siri/Alexa, social media bots)

Create a conversation flow diagram

Now apply your knowledge by designing a chatbot conversation flow for your chosen chatbot topic. You must outline:

  • The chatbot’s greeting.
  • The possible user inputs.
  • How the bot will respond to each input.
  • How errors will be handled.

Activity: Create conversation flow using Manychat bot or Robochat. Share your designs with the teacher in Toddle.

Types of creating chatbot in Telegram

Telegram allows users to create bots through the BotFather, a special bot that helps set up new bots. The steps include:

  1. Open Telegram and search for BotFather.
  2. Start a chat and use the command /newbot.
  3. Follow the instructions to name the bot and create a unique username.

  • Activity:
Follow the steps to create their own bot using BotFather and share the bot name with the class.

ATL skills

Organization – Managing steps to set up and configure a Telegram bot. Communication – Understanding and using Telegram’s bot commands. Problem-Solving – Troubleshooting setup errors and debugging issues.

Analyze different chatbot conversation structures

  • Chatbots follow different conversation structures based on their purpose:
  • Linear Flow: Simple, step-by-step guidance (e.g., ordering food).
  • Branched Flow: Multiple choices lead to different outcomes (e.g., customer service bots).
  • AI-Powered Flow: Uses natural language processing for flexible responses.
  • Activity:
Flowchart Analysis: Analyze two given chatbot instruments in pairs and choose which one is the best for your specific topic.

ManyChatBot -

Robochat.io-

ATL Skills:

Communication – Structuring chatbot dialogues for clear and engaging interaction. Critical Thinking – Designing conversation flows that anticipate user needs. Problem-Solving – Identifying potential chatbot issues and improving responses.

A chatbot conversation flow determines how a bot interacts with users, guiding them from an initial message to the final response. A well-designed flow ensures smooth communication, reducing user frustration and improving engagement. Key elements of a conversation flow:

  • Greeting: How the bot introduces itself.
  • User Intent Recognition: Understanding what the user wants.
  • Response Generation: Providing useful and relevant replies.
  • Error Handling: Dealing with unrecognized inputs.

Activity: In small groups, create a real chatbot conversation, identifying its greeting, user intents, responses, and error-handling mechanisms in a paper.

Reflection

  • Why is a well-structured conversation flow important for chatbot success?
  • What challenges did you face when designing your chatbot flow?
  • How can you improve your chatbot’s conversation for a better user experience?

Create a conversation flow diagram

Now apply your knowledge by designing a chatbot conversation flow for your chosen chatbot topic. You must outline:

  • The chatbot’s greeting.
  • The possible user inputs.
  • How the bot will respond to each input.
  • How errors will be handled.

Activity: Create conversation flow using Manychat bot or Robochat. Share your designs with the teacher in Toddle.

Analyze different chatbot conversation structures

  • Chatbots follow different conversation structures based on their purpose:
  • Linear Flow: Simple, step-by-step guidance (e.g., ordering food).
  • Branched Flow: Multiple choices lead to different outcomes (e.g., customer service bots).
  • AI-Powered Flow: Uses natural language processing for flexible responses.
  • Activity:
Flowchart Analysis: Analyze two given chatbot instruments in pairs and choose which one is the best for your specific topic.

ManyChatBot -

Robochat.io-

ATL Skills:

Communication – Structuring chatbot dialogues for clear and engaging interaction. Critical Thinking – Designing conversation flows that anticipate user needs. Problem-Solving – Identifying potential chatbot issues and improving responses.