including tensorflow-io should be sandboxed if used to process untrusted data.

For example, if an attacker were to upload a malicious video file, they could
potentially exploit a vulnerability in the TensorFlow code that handles videos,
which could allow them to execute arbitrary code on the system running
TensorFlow.

It is important to keep TensorFlow up to date with the latest security patches

/// tip | Astuce

Si vous souhaitez diffuser des données binaires, par exemple de la vidéo ou de l’audio, consultez le guide avancé : [Diffuser des données](../advanced/stream-data.md).

///

## Diffuser des SSE avec FastAPI { #stream-sse-with-fastapi }

text/x-sgml                    sgml sgm         # SGML Document
video/mpeg                     mpeg mpg mpe     # MPEG Movie File
video/quicktime                qt mov           # Quicktime Movie File
video/x-ms-asf                 asf asx          # Windows Media  File
video/x-msvideo                avi              # AVI Movie File

text/x-sgml                    sgml sgm         # SGML Document
video/mpeg                     mpeg mpg mpe     # MPEG Movie File
video/quicktime                qt mov           # Quicktime Movie File
video/x-ms-asf                 asf asx          # Windows Media  File
video/x-msvideo                avi              # AVI Movie File

        @DisplayName("Should handle audio and video extensions")
        void testMultimediaExtensions() throws IOException {
            // Common audio formats
            assertEquals("audio/x-wav", mimeMap.getMimeType("wav"));
            // mp3 has multiple mappings, first one wins
            assertEquals("audio/x-mpegurl", mimeMap.getMimeType("mp3"));

            // Common video formats

from fastapi import FastAPI
from fastapi.responses import StreamingResponse

some_file_path = "large-video-file.mp4"
app = FastAPI()


@app.get("/")
def main():
    def iterfile():  # (1)
        with open(some_file_path, mode="rb") as file_like:  # (2)
            yield from file_like  # (3)

from fastapi import FastAPI
from fastapi.responses import FileResponse

some_file_path = "large-video-file.mp4"
app = FastAPI()


@app.get("/")
async def main():

from fastapi import FastAPI
from fastapi.responses import FileResponse

some_file_path = "large-video-file.mp4"
app = FastAPI()


@app.get("/", response_class=FileResponse)
async def main():

Consider an application streaming a video over http/2. Perhaps the user pauses the video and the application stops reading bytes from this stream. The buffer will fill up, and flow control prevents the server from sending more data on this stream. When the user unpauses her video the buffer drains, the read is acknowledged, and the server proceeds to stream data.

#### Shared reader thread

import anyio
from fastapi import FastAPI
from fastapi.responses import StreamingResponse

app = FastAPI()


async def fake_video_streamer():
    for i in range(10):
        yield b"some fake video bytes"
        await anyio.sleep(0)


@app.get("/")
async def main():