<ul><li>In this blog, we’ll build a multilingual code explanation app to showcase QwQ’s capabilities, particularly its strengths in reasoning, following instructions, coding, and multilingual support.</li><li>The app will be built using Python, Streamlit, and Hugging Face's QwQ API.</li><li>To get started, we’ll access QwQ using Hugging Face, set up an account, and get the necessary permissions.</li><li>We will create three files called .env, backend.py, and frontend.py to hold our code.</li><li>To interact with QwQ's hosted API, a folder for the project will be created and the dependencies installed.</li><li>A function for sending a request to the API will be written in backend.py.</li><li>Streamlit will be used to build the frontend of the app in frontend.py.</li><li>After setting the app title and layout, instructions for using the app will be added.</li><li>Input fields for code and language selection will be created, and a 'Generate Explanation' button will be added.</li><li>A footer will be added to the app, and it will be launched.</li></ul>

QwQ: Step-by-Step Tutorial With Demo Project

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