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docs/pl/docs/index.md
--- "_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_" <div style="text-align: right; margin-right: 10%;">Piero Molino, Yaroslav Dudin, and Sai Sumanth Miryala - <strong>Uber</strong> <a href="https://eng.uber.com/ludwig-v0-2/" target="_blank"><small>(ref)</small></a></div> ---
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docs/ru/docs/index.md
--- ## **Typer**, интерфейс командной строки для FastAPI
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docs/it/docs/index.md
--- "_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_" <div style="text-align: right; margin-right: 10%;">Piero Molino, Yaroslav Dudin, e Sai Sumanth Miryala - <strong>Uber</strong> <a href="https://eng.uber.com/ludwig-v0-2/" target="_blank"><small>(ref)</small></a></div> ---
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docs/zh/docs/index.md
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docs/en/docs/contributing.md
### Install requirements using pip After activating the environment as described above: <div class="termy"> ```console $ pip install -r requirements.txt ---> 100% ``` </div> It will install all the dependencies and your local FastAPI in your local environment. ### Using your local FastAPI
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docs/en/docs/advanced/generate-clients.md
### Generate a TypeScript Client Now that we have the app with the models, we can generate the client code for the frontend. #### Install `openapi-ts` You can install `openapi-ts` in your frontend code with: <div class="termy"> ```console $ npm install @hey-api/openapi-ts --save-dev ---> 100% ``` </div> #### Generate Client Code
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docs/em/docs/contributing.md
<div class="termy"> ```console $ python -m pip install --upgrade pip ---> 100% ``` </div> !!! tip 🔠 🕰 👆 ❎ 🆕 📦 ⏮️ `pip` 🔽 👈 🌐, 🔓 🌐 🔄. 👉 ⚒ 💭 👈 🚥 👆 ⚙️ 📶 📋 ❎ 👈 📦, 👆 ⚙️ 1️⃣ ⚪️➡️ 👆 🇧🇿 🌐 & 🚫 🙆 🎏 👈 💪 ❎ 🌐. ### 🐖 ⏮️ 🔓 🌐 🔬 🔛: <div class="termy"> ```console $ pip install -r requirements.txt ---> 100% ``` </div>
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docs/en/docs/tutorial/response-model.md
{!> ../../../docs_src/response_model/tutorial002.py!} ``` !!! info To use `EmailStr`, first install <a href="https://github.com/JoshData/python-email-validator" class="external-link" target="_blank">`email_validator`</a>. E.g. `pip install email-validator` or `pip install pydantic[email]`. And we are using this model to declare our input and the same model to declare our output:
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docs/ko/docs/deployment/server-workers.md
그리고 나서 구니콘과 호환되는 **유비콘 워커** 클래스는 구니콘이 보낸 데이터를 FastAPI에서 사용하기 위한 ASGI 표준으로 변환하는 일을 담당합니다. ## 구니콘과 유비콘 설치하기 <div class="termy"> ```console $ pip install "uvicorn[standard]" gunicorn ---> 100% ``` </div> 이 명령어는 유비콘 `standard` 추가 패키지(좋은 성능을 위한)와 구니콘을 설치할 것입니다. ## 구니콘을 유비콘 워커와 함께 실행하기 설치 후 구니콘 실행하기: <div class="termy"> ```console
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docs/zh/docs/tutorial/sql-databases.md
``` 该文件`__init__.py`只是一个空文件,但它告诉 Python 其中`sql_app`的所有模块(Python 文件)都是一个包。 现在让我们看看每个文件/模块的作用。 ## 安装 SQLAlchemy 先下载`SQLAlchemy`所需要的依赖: <div class="termy"> ```console $ pip install sqlalchemy ---> 100% ``` </div> ## 创建 SQLAlchemy 部件 让我们转到文件`sql_app/database.py`。 ### 导入 SQLAlchemy 部件 ```Python hl_lines="1-3"
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