commands installl ffmpeg<9

Author: Dan-Flores

CONTRIBUTING.md

@@ -30,7 +30,7 @@ Start by installing the **nightly** build of PyTorch following the
 Then, the easiest way to install the rest of the dependencies is to run:
 
 ```bash
-conda install cmake pkg-config pybind11 "ffmpeg<8" -c conda-forge
+conda install cmake pkg-config pybind11 "ffmpeg<9" -c conda-forge
 ```
 
 ### Clone and build

README.md

@@ -107,16 +107,16 @@ 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 major FFmpeg versions
-   in [4, 7] on all platforms, and FFmpeg version 8 is supported on Mac and Linux.
+   come with FFmpeg pre-installed. TorchCodec supports supports all major FFmpeg versions
+   in [4, 8].
 
    If FFmpeg is not already installed, or you need a more recent version, an
    easy way to install it is to use `conda`:
 
    ```bash
-   conda install "ffmpeg<8"
+   conda install "ffmpeg<9"
    # or
-   conda install "ffmpeg<8" -c conda-forge
+   conda install "ffmpeg<9" -c conda-forge
    ```
 
 3. Install TorchCodec:
@@ -148,16 +148,15 @@ 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] on all platforms,
-   and FFmpeg version 8 is supported on Linux.
+   TorchCodec with CUDA should work with FFmpeg versions in [4, 8].
 
    If FFmpeg is not already installed, or you need a more recent version, an
    easy way to install it is to use `conda`:
 
    ```bash
-   conda install "ffmpeg<8"
+   conda install "ffmpeg<9"
    # or
-   conda install "ffmpeg<8" -c conda-forge
+   conda install "ffmpeg<9" -c conda-forge
    ```
 
    After installing FFmpeg make sure it has NVDEC support when you list the supported