- Популярные видео
- Авто
- Видео-блоги
- ДТП, аварии
- Для маленьких
- Еда, напитки
- Животные
- Закон и право
- Знаменитости
- Игры
- Искусство
- Комедии
- Красота, мода
- Кулинария, рецепты
- Люди
- Мото
- Музыка
- Мультфильмы
- Наука, технологии
- Новости
- Образование
- Политика
- Праздники
- Приколы
- Природа
- Происшествия
- Путешествия
- Развлечения
- Ржач
- Семья
- Сериалы
- Спорт
- Стиль жизни
- ТВ передачи
- Танцы
- Технологии
- Товары
- Ужасы
- Фильмы
- Шоу-бизнес
- Юмор
Create Your Own ChatGPT Using FastAPI & Gemini 2.5 Flash #genai #python #coding #website
In this video, you’ll learn how to build your own AI-powered web application using FastAPI and Google Gemini 2.5 Flash.
We’ll create a backend API that receives user prompts, sends them to the Gemini API, and returns AI-generated responses in real time. This project demonstrates how frontend and backend communicate using REST APIs and how Large Language Models (LLMs) can be integrated into production-ready applications.
This tutorial covers:
Installing FastAPI and Uvicorn
Setting up the Gemini API key
Creating a POST endpoint
Sending prompts to Gemini 2.5 Flash
Returning AI-generated responses as JSON
Running the FastAPI server
Testing APIs using Swagger Docs
If you're learning Generative AI, Python backend development, or building AI SaaS products, this project will give you a strong foundation.
Technologies used:
Python
FastAPI
Google Gemini API
REST API
JSON
Uvicorn
This architecture is used in real-world AI products including chatbots, AI assistants, SaaS tools, and automation platforms.
fastapi tutorial
gemini api tutorial
google gemini api python
build ai app python
fastapi generative ai
gemini 2.5 flash
python ai backend
create chatgpt clone python
fastapi project
llm integration python
ai web app tutorial
google ai studio api
rest api fastapi
python backend tutorial
gen ai python project
Видео Create Your Own ChatGPT Using FastAPI & Gemini 2.5 Flash #genai #python #coding #website канала CodeWithAditya
We’ll create a backend API that receives user prompts, sends them to the Gemini API, and returns AI-generated responses in real time. This project demonstrates how frontend and backend communicate using REST APIs and how Large Language Models (LLMs) can be integrated into production-ready applications.
This tutorial covers:
Installing FastAPI and Uvicorn
Setting up the Gemini API key
Creating a POST endpoint
Sending prompts to Gemini 2.5 Flash
Returning AI-generated responses as JSON
Running the FastAPI server
Testing APIs using Swagger Docs
If you're learning Generative AI, Python backend development, or building AI SaaS products, this project will give you a strong foundation.
Technologies used:
Python
FastAPI
Google Gemini API
REST API
JSON
Uvicorn
This architecture is used in real-world AI products including chatbots, AI assistants, SaaS tools, and automation platforms.
fastapi tutorial
gemini api tutorial
google gemini api python
build ai app python
fastapi generative ai
gemini 2.5 flash
python ai backend
create chatgpt clone python
fastapi project
llm integration python
ai web app tutorial
google ai studio api
rest api fastapi
python backend tutorial
gen ai python project
Видео Create Your Own ChatGPT Using FastAPI & Gemini 2.5 Flash #genai #python #coding #website канала CodeWithAditya
Комментарии отсутствуют
Информация о видео
12 февраля 2026 г. 16:04:23
00:06:36
Другие видео канала





















