Remove online asr tutorial

[samanklesaria]

As the online_asr tutorial depends on the deprecated StreamReader interface, this must be deleted before the new release.

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/audio/3984

• 📄 Preview Python docs built from this PR

Note: Links to docs will display an error until the docs builds have been completed.

❌ 14 New Failures

As of commit 362e959 with merge base 00b0c91 ():

NEW FAILURES - The following jobs have failed:

• .github/workflows/bandit.yml (gh)
• .github/workflows/integration-test.yml (gh)
• .github/workflows/lint.yml (gh)
• .github/workflows/pr-labels.yml (gh)
• .github/workflows/unittest-linux-gpu.yml (gh)
• .github/workflows/unittest-macos-cpu.yml (gh)
• .github/workflows/unittest-windows-cpu.yml (gh)
• .github/workflows/unittest-windows-gpu.yml (gh)
• Build Windows Wheels / pytorch/audio / build-wheel-py3_9-cuda12_6 (gh)
• Build Windows Wheels / pytorch/audio / build-wheel-py3_9-cuda12_8 (gh)
  C:/actions-runner/_work/_temp/conda_environment_16375715148/Lib/site-packages/torch/include\torch/csrc/dynamo/compiled_autograd.h(1135): error C2872: 'std': ambiguous symbol
• Build Windows Wheels / pytorch/audio / build-wheel-py3_9-cuda12_9 (gh)
  C:/actions-runner/_work/_temp/conda_environment_16375715148/Lib/site-packages/torch/include\torch/csrc/dynamo/compiled_autograd.h(1135): error C2872: 'std': ambiguous symbol
• Build Windows Wheels / pytorch/audio / upload / upload-wheel-py3_9-cuda12_6 (gh)
  Unable to download artifact(s): Artifact not found for name: pytorch_audio__3.9_cu126_x64
• Build Windows Wheels / pytorch/audio / upload / upload-wheel-py3_9-cuda12_8 (gh)
  Unable to download artifact(s): Artifact not found for name: pytorch_audio__3.9_cu128_x64
• Build Windows Wheels / pytorch/audio / upload / upload-wheel-py3_9-cuda12_9 (gh)
  Unable to download artifact(s): Artifact not found for name: pytorch_audio__3.9_cu129_x64

This comment was automatically generated by Dr. CI and updates every 15 minutes.