Indicate FFmpeg8 support in docs (#971)

Co-authored-by: Daniel Flores <danielflores3@fb.com>

Author: Dan-Flores

README.md

@@ -107,8 +107,8 @@ ffmpeg -f lavfi -i \
    `torch` and `torchcodec`.
 
 2. Install FFmpeg, if it's not already installed. Linux distributions usually
-   come with FFmpeg pre-installed. TorchCodec supports all major FFmpeg versions
-   in [4, 7].
+   come with FFmpeg pre-installed. TorchCodec supports major FFmpeg versions
+   in [4, 7] on all platforms, and FFmpeg version 8 is supported on Mac and Linux.
 
    If FFmpeg is not already installed, or you need a more recent version, an
    easy way to install it is to use `conda`:
@@ -148,7 +148,8 @@ format you want. Refer to Nvidia's GPU support matrix for more details
 [here](https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new).
 
 1. Install FFmpeg with NVDEC support.
-   TorchCodec with CUDA should work with FFmpeg versions in [4, 7].
+   TorchCodec with CUDA should work with FFmpeg versions in [4, 7] on all platforms,
+   and FFmpeg version 8 is supported on Linux.
 
    If FFmpeg is not already installed, or you need a more recent version, an
    easy way to install it is to use `conda`:

src/torchcodec/_core/ops.py

@@ -69,7 +69,7 @@ def load_torchcodec_shared_libraries():
     raise RuntimeError(
         f"""Could not load libtorchcodec. Likely causes:
           1. FFmpeg is not properly installed in your environment. We support
-             versions 4, 5, 6 and 7.
+             versions 4, 5, 6, and 7 on all platforms, and 8 on Mac and Linux.
           2. The PyTorch version ({torch.__version__}) is not compatible with
              this version of TorchCodec. Refer to the version compatibility
              table: