FFmpeg is not properly installed in your environment. We support #1023
Description
🐛 Describe the bug
[2025-11-06 15:26:47,069] - [WARNING] - Error processing data item 001: Could not load libtorchcodec. Likely causes:
1. FFmpeg is not properly installed in your environment. We support
versions 4, 5, 6, and 7 on all platforms, and 8 on Mac and Linux.
2. The PyTorch version (2.10.0.dev20251105+cu130) is not compatible with
this version of TorchCodec. Refer to the version compatibility
table:
https://github.com/pytorch/torchcodec?tab=readme-ov-file#installing-torchcodec.
3. Another runtime dependency; see exceptions below.
The following exceptions were raised as we tried to load libtorchcodec:
[start of libtorchcodec loading traceback]
FFmpeg version 8: Could not load this library: /root/miniconda3/envs/soulxpodcast/lib/python3.11/site-packages/torchcodec/libtorchcodec_core8.so
FFmpeg version 7: Could not load this library: /root/miniconda3/envs/soulxpodcast/lib/python3.11/site-packages/torchcodec/libtorchcodec_core7.so
FFmpeg version 6: Could not load this library: /root/miniconda3/envs/soulxpodcast/lib/python3.11/site-packages/torchcodec/libtorchcodec_core6.so
FFmpeg version 5: Could not load this library: /root/miniconda3/envs/soulxpodcast/lib/python3.11/site-packages/torchcodec/libtorchcodec_core5.so
FFmpeg version 4: Could not load this library: /root/miniconda3/envs/soulxpodcast/lib/python3.11/site-packages/torchcodec/libtorchcodec_core4.so
[end of libtorchcodec loading traceback].
Traceback (most recent call last):
File "/root/miniconda3/envs/soulxpodcast/lib/python3.11/site-packages/gradio/queueing.py", line 759, in process_events
response = await route_utils.call_process_api(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/root/miniconda3/envs/soulxpodcast/lib/python3.11/site-packages/gradio/route_utils.py", line 354, in call_process_api
output = await app.get_blocks().process_api(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/root/miniconda3/envs/soulxpodcast/lib/python3.11/site-packages/gradio/blocks.py", line 2116, in process_api
result = await self.call_function(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/root/miniconda3/envs/soulxpodcast/lib/python3.11/site-packages/gradio/blocks.py", line 1623, in call_function
prediction = await anyio.to_thread.run_sync( # type: ignore
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/root/miniconda3/envs/soulxpodcast/lib/python3.11/site-packages/anyio/to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/root/miniconda3/envs/soulxpodcast/lib/python3.11/site-packages/anyio/_backends/_asyncio.py", line 2485, in run_sync_in_worker_thread
return await future
^^^^^^^^^^^^
File "/root/miniconda3/envs/soulxpodcast/lib/python3.11/site-packages/anyio/_backends/_asyncio.py", line 976, in run
result = context.run(func, *args)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/root/miniconda3/envs/soulxpodcast/lib/python3.11/site-packages/gradio/utils.py", line 915, in wrapper
response = f(*args, **kwargs)
^^^^^^^^^^^^^^^^^^
File "/home/SoulX-Podcast-main/webui.py", line 325, in dialogue_synthesis_function
data = process_single(
^^^^^^^^^^^^^^^
File "/home/SoulX-Podcast-main/webui.py", line 266, in process_single
prompt_mels_for_llm, prompt_mels_lens_for_llm = s3tokenizer.padding(data["log_mel"]) # [B, num_mels=128, T]
~~~~^^^^^^^^^^^
TypeError: 'NoneType' object is not subscriptable
^CKeyboard interruption in main thread... closing server.
^CTraceback (most recent call last):
File "/root/miniconda3/envs/soulxpodcast/lib/python3.11/site-packages/gradio/blocks.py", line 2958, in block_thread
time.sleep(0.1)
KeyboardInterrupt
Versions
ffmpeg version：
git clone -b release/6.1 https://github.com/FFmpeg/FFmpeg.git ffmpeg/
suppport cuda
ffmpeg version n6.1.3-2-ge835b06f2d Copyright (c) 2000-2025 the FFmpeg developers
built with gcc 13 (Ubuntu 13.3.0-6ubuntu2~24.04)
configuration: --prefix=/usr/local --enable-nonfree --enable-cuda-nvcc --enable-libnpp --extra-cflags=-I/usr/local/cuda-12.8/include --extra-ldflags=-L/usr/local/cuda-12.8/lib64 --disable-static --enable-shared
libavutil 58. 29.100 / 58. 29.100
libavcodec 60. 31.102 / 60. 31.102
libavformat 60. 16.100 / 60. 16.100
libavdevice 60. 3.100 / 60. 3.100
libavfilter 9. 12.100 / 9. 12.100
libswscale 7. 5.100 / 7. 5.100
libswresample 4. 12.100 / 4. 12.100
V....D h264_nvenc NVIDIA NVENC H.264 encoder (codec h264)
V..... h264_v4l2m2m V4L2 mem2mem H.264 encoder wrapper (codec h264)
TorchCodec version: torchcodec 0.9.0.dev20251105+cu130