---
name: TensorFlow Lite Op Request
about: Use this template for reporting Lite ops you are using or missing
labels: 'comp:lite'

---

**System information**
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installed from (source or binary):
- TensorFlow version (or github SHA if from source):


**Provide the text output from tflite_convert**

```
# Copy and paste here
```

!!! note "Technical Details"
    You could also use `from starlette.testclient import TestClient`.

    **FastAPI** provides the same `starlette.testclient` as `fastapi.testclient` just as a convenience for you, the developer. But it comes directly from Starlette.

!!! tip

We are already halfway there.

We just need to add a *path operation* for the user/client to actually send the `username` and `password`.

```JSON
{"item_id":3}
```

!!! check
    👀 👈 💲 👆 🔢 📨 (& 📨) `3`, 🐍 `int`, 🚫 🎻 `"3"`.

    , ⏮️ 👈 🆎 📄, **FastAPI** 🤝 👆 🏧 📨 <abbr title="converting the string that comes from an HTTP request into Python data">"✍"</abbr>.

## 💽 🔬

✋️ 🚥 👆 🚶 🖥 <a href="http://127.0.0.1:8000/items/foo" class="external-link" target="_blank">http://127.0.0.1:8000/items/foo</a>, 👆 🔜 👀 👌 🇺🇸🔍 ❌:

从 API 文档（URL 是 `https://gltnci.deta.dev/docs`）发送请求至*路径操作* `/items/{item_id}`。

例如，ID `5`。

现在跳转至 <a href="https://web.deta.sh/" class="external-link" target="_blank">https://web.deta.sh。</a>

左边栏有个 <abbr title="it comes from Micro(server)">"Micros"</abbr> 标签，里面是所有的应用。

还有一个 **Details** 和 **Visor** 标签，跳转到 **Visor** 标签。

在这里查看最近发送给应用的请求。

您可以编辑或重新使用这些请求。

<img src="/img/deployment/deta/image02.png">

## 更多内容

The first step is to install FastAPI:

<div class="termy">

```console
$ pip install fastapi

---> 100%
```

</div>

!!! note
    When you install with `pip install fastapi` it comes with some default optional standard dependencies.

    If you don't want to have those optional dependencies, you can instead install `pip install fastapi-slim`.

## Advanced User Guide

* La variable `items_s` es un `set` y cada uno de sus ítems es de tipo `bytes`.

#### Diccionarios (Dicts)

Para definir un `dict` le pasas 2 sub-tipos separados por comas.

El primer sub-tipo es para los keys del `dict`.

El segundo sub-tipo es para los valores del `dict`:

```Python hl_lines="1  4"
{!../../../docs_src/python_types/tutorial008.py!}
```