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Showing posts with the label telegram bot

Getting started with Django | Create your first Telegram Bot with Django and Telegram Bot API | A Step-by-Step Guide

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  Getting started with Django | Create your first Telegram Bot with Django and Telegram Bot API | A Step-by-Step Guide Photo by Windows on  Unsplash Introduction Django is a powerful web framework for Python that allows developers to build and deploy web applications quickly. It provides a lot of built-in features and is highly customizable, making it a popular choice for web development. Telegram is a messaging platform that allows users to send and receive messages, photos, videos, and other media. It also has a powerful API that allows developers to create bots that can interact with users and perform various tasks. In this tutorial, we will show you how to get started with Django and create your first Telegram bot using the Django web framework and the Telegram Bot API. We will provide a step-by-step guide on how to set up your development environment, create a Django project, and build a basic Telegram bot that can send and receive messages. By the end of this tutorial, ...

Make Your 1st Streamlit App with Cohere’s Large Language Models

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  Make Your 1st Streamlit App with Cohere’s Large Language Models Introduction Streamlit is a popular open-source framework for building web-based data visualization and machine learning tools. Cohere is a company that offers large language models trained on a wide range of data sources, including books, articles, and websites. In this tutorial, we will show you how to use Cohere’s large language models to build your first Streamlit app. Set up your development environment To get started, you will need to have Python 3 installed on your computer. Setup Python virtual environment: python -m venv env Next, install the Streamlit and Cohere libraries using pip: pip install streamlit pip install cohere-python Cohere Choose a language model and obtain an API key Cohere offers a variety of language models, including models trained on general knowledge, scientific papers, and Wikipedia articles. To use a Cohere language model, you will need to obtain an API key from the  Co...