value: |
        <details>

        ```console
        # On Linux:
        $ cat /etc/os-release
        # paste output here
        $ uname -a
        # paste output here

        # On Windows:
        C:\> wmic os get Caption, Version, BuildNumber, OSArchitecture
        # paste output here
        ```

        </details>

  - type: textarea
    id: installer
    attributes:

```
(You can paste links or attach files by dragging & dropping them below)
- Provide links to your updated versions of the above two colab notebooks.
- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```

#### Option B: Paste your code here or provide a link to a custom end-to-end colab

```
(You can paste links or attach files by dragging & dropping them below)

Python 3.6+

FastAPI è basata su importanti librerie:

* <a href="https://www.starlette.io/" class="external-link" target="_blank">Starlette</a> per le parti web.
* <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> per le parti dei dati.

## Installazione

<div class="termy">

```console
$ pip install fastapi

---> 100%
```

</div>

   *
   * Past underutilization could mean that excess resources are available. Then, the RateLimiter
   * should speed up for a while, to take advantage of these resources. This is important when the
   * rate is applied to networking (limiting bandwidth), where past underutilization typically
   * translates to "almost empty buffers", which can be filled immediately.
   *

import subprocess

from playwright.sync_api import Playwright, sync_playwright


# Run playwright codegen to generate the code below, copy paste the sections in run()
def run(playwright: Playwright) -> None:
    browser = playwright.chromium.launch(headless=False)
    # Update the viewport manually
    context = browser.new_context(viewport={"width": 960, "height": 1080})
    page = context.new_page()
    page.goto("http://localhost:8000/docs")

import subprocess

from playwright.sync_api import Playwright, sync_playwright


# Run playwright codegen to generate the code below, copy paste the sections in run()
def run(playwright: Playwright) -> None:
    browser = playwright.chromium.launch(headless=False)
    # Update the viewport manually
    context = browser.new_context(viewport={"width": 960, "height": 1080})
    page = context.new_page()
    page.goto("http://localhost:8000/docs")

import subprocess
import time

import httpx
from playwright.sync_api import Playwright, sync_playwright


# Run playwright codegen to generate the code below, copy paste the sections in run()
def run(playwright: Playwright) -> None:
    browser = playwright.chromium.launch(headless=False)
    # Update the viewport manually
    context = browser.new_context(viewport={"width": 960, "height": 1080})
    page = context.new_page()

import subprocess
import time

import httpx
from playwright.sync_api import Playwright, sync_playwright


# Run playwright codegen to generate the code below, copy paste the sections in run()
def run(playwright: Playwright) -> None:
    browser = playwright.chromium.launch(headless=False)
    # Update the viewport manually
    context = browser.new_context(viewport={"width": 960, "height": 1080})
    browser = playwright.chromium.launch(headless=False)

- 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
```

**Standalone code to reproduce the issue** 
Provide a reproducible test case that is the bare minimum necessary to generate
the problem. If possible, please share a link to Colab/Jupyter/any notebook.

labels.facet_timestamp_title=Date Range
labels.facet_timestamp_1day=Past 24 Hours
labels.facet_timestamp_1week=Past Week
labels.facet_timestamp_1month=Past Month
labels.facet_timestamp_1year=Past Year
labels.facet_timestamp_3month=Past 3 Months
labels.facet_timestamp_6month=Past 6 Months
labels.facet_timestamp_2year=Past 2 Years
labels.facet_timestamp_3year=Past 3 Years
labels.facet_contentLength_title=Size