server

client/src/main.py

@@ -51,10 +51,13 @@ def main():
                 audio_np_array = to_audio_array(audio_data)
 
                 if current_audio_chunk.is_complete:
+                    print('start serialize')
                     serialized = pickle.dumps(current_audio_chunk.audio_array)
+                    print('end serialize')
 
+                    print('start req')
                     response = httpx.post(TRANSCRIBING_SERVER, data=serialized)
-                    print('chunk done', response.text, response.status_code)
+                    print('req done', response.text, response.status_code)
 
                     # text = transcribe_model.transcribe(current_audio_chunk.audio_array)
                     # sentence = Sentence(

server/pdm.lock

@@ -5,7 +5,26 @@
 groups = ["default"]
 strategy = ["cross_platform"]
 lock_version = "4.4"
-content_hash = "sha256:52aedc3110e17453d6a602cc98df541141b819cc98f40b555c1b128478e163d6"
+content_hash = "sha256:29fec1d6f8c4bac2b381a864faff2fd0e5f2c130535ff42ba32e01ddd9da623b"
+
+[[package]]
+name = "accelerate"
+version = "0.26.1"
+requires_python = ">=3.8.0"
+summary = "Accelerate"
+dependencies = [
+    "huggingface-hub",
+    "numpy>=1.17",
+    "packaging>=20.0",
+    "psutil",
+    "pyyaml",
+    "safetensors>=0.3.1",
+    "torch>=1.10.0",
+]
+files = [
+    {file = "accelerate-0.26.1-py3-none-any.whl", hash = "sha256:04df826b84ac7bad8a0a8ab90e6aeacdecb1ea5a2d744d7e94f6735c29183227"},
+    {file = "accelerate-0.26.1.tar.gz", hash = "sha256:bf63716b6bd9460d87da970cf4d833abb824ca0aa633be36b741e63a1b504f89"},
+]
 
 [[package]]
 name = "annotated-types"
@@ -31,6 +50,56 @@ files = [
     {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
 ]
 
+[[package]]
+name = "certifi"
+version = "2023.11.17"
+requires_python = ">=3.6"
+summary = "Python package for providing Mozilla's CA Bundle."
+files = [
+    {file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
+    {file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
+]
+
+[[package]]
+name = "charset-normalizer"
+version = "3.3.2"
+requires_python = ">=3.7.0"
+summary = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
+files = [
+    {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
+    {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db"},
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+    {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b"},
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+    {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068"},
+    {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143"},
+    {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4"},
+    {file = "charset_normalizer-3.3.2-cp312-cp312-win32.whl", hash = "sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7"},
+    {file = "charset_normalizer-3.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001"},
+    {file = "charset_normalizer-3.3.2-py3-none-any.whl", hash = "sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc"},
+]
+
 [[package]]
 name = "click"
 version = "8.1.7"
@@ -69,6 +138,26 @@ files = [
     {file = "fastapi-0.109.0.tar.gz", hash = "sha256:b978095b9ee01a5cf49b19f4bc1ac9b8ca83aa076e770ef8fd9af09a2b88d191"},
 ]
 
+[[package]]
+name = "filelock"
+version = "3.13.1"
+requires_python = ">=3.8"
+summary = "A platform independent file lock."
+files = [
+    {file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"},
+    {file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"},
+]
+
+[[package]]
+name = "fsspec"
+version = "2023.12.2"
+requires_python = ">=3.8"
+summary = "File-system specification"
+files = [
+    {file = "fsspec-2023.12.2-py3-none-any.whl", hash = "sha256:d800d87f72189a745fa3d6b033b9dc4a34ad069f60ca60b943a63599f5501960"},
+    {file = "fsspec-2023.12.2.tar.gz", hash = "sha256:8548d39e8810b59c38014934f6b31e57f40c1b20f911f4cc2b85389c7e9bf0cb"},
+]
+
 [[package]]
 name = "h11"
 version = "0.14.0"
@@ -102,6 +191,25 @@ files = [
     {file = "httptools-0.6.1.tar.gz", hash = "sha256:c6e26c30455600b95d94b1b836085138e82f177351454ee841c148f93a9bad5a"},
 ]
 
+[[package]]
+name = "huggingface-hub"
+version = "0.20.2"
+requires_python = ">=3.8.0"
+summary = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
+dependencies = [
+    "filelock",
+    "fsspec>=2023.5.0",
+    "packaging>=20.9",
+    "pyyaml>=5.1",
+    "requests",
+    "tqdm>=4.42.1",
+    "typing-extensions>=3.7.4.3",
+]
+files = [
+    {file = "huggingface_hub-0.20.2-py3-none-any.whl", hash = "sha256:53752eda2239d30a470c307a61cf9adcf136bc77b0a734338c7d04941af560d8"},
+    {file = "huggingface_hub-0.20.2.tar.gz", hash = "sha256:215c5fceff631030c7a3d19ba7b588921c908b3f21eef31d160ebc245b200ff6"},
+]
+
 [[package]]
 name = "idna"
 version = "3.6"
@@ -112,6 +220,249 @@ files = [
     {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
 ]
 
+[[package]]
+name = "jinja2"
+version = "3.1.3"
+requires_python = ">=3.7"
+summary = "A very fast and expressive template engine."
+dependencies = [
+    "MarkupSafe>=2.0",
+]
+files = [
+    {file = "Jinja2-3.1.3-py3-none-any.whl", hash = "sha256:7d6d50dd97d52cbc355597bd845fabfbac3f551e1f99619e39a35ce8c370b5fa"},
+    {file = "Jinja2-3.1.3.tar.gz", hash = "sha256:ac8bd6544d4bb2c9792bf3a159e80bba8fda7f07e81bc3aed565432d5925ba90"},
+]
+
+[[package]]
+name = "markupsafe"
+version = "2.1.3"
+requires_python = ">=3.7"
+summary = "Safely add untrusted strings to HTML/XML markup."
+files = [
+    {file = "MarkupSafe-2.1.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:ad9e82fb8f09ade1c3e1b996a6337afac2b8b9e365f926f5a61aacc71adc5b3c"},
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+version = "1.3.0"
+summary = "Python library for arbitrary-precision floating-point arithmetic"
+files = [
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+[[package]]
+name = "networkx"
+version = "3.2.1"
+requires_python = ">=3.9"
+summary = "Python package for creating and manipulating graphs and networks"
+files = [
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+]
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+[[package]]
+name = "numpy"
+version = "1.26.3"
+requires_python = ">=3.9"
+summary = "Fundamental package for array computing in Python"
+files = [
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+    "nvidia-nccl-cu12==2.18.1; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
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+    "requests",
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+    "tqdm>=4.27",
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+requires_python = ">=3.8.0"
+summary = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
+dependencies = [
+    "accelerate>=0.21.0",
+    "torch!=1.12.0,>=1.10",
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+
+[[package]]
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+version = "2.1.0"
+summary = "A language and compiler for custom Deep Learning operations"
+dependencies = [
+    "filelock",
+]
+files = [
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+    {file = "triton-2.1.0-0-pp37-pypy37_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:143582ca31dd89cd982bd3bf53666bab1c7527d41e185f9e3d8a3051ce1b663b"},
+    {file = "triton-2.1.0-0-pp38-pypy38_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:82fc5aeeedf6e36be4e4530cbdcba81a09d65c18e02f52dc298696d45721f3bd"},
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+]
+
 [[package]]
 name = "typing-extensions"
 version = "4.9.0"
@@ -261,6 +897,16 @@ files = [
     {file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"},
 ]
 
+[[package]]
+name = "urllib3"
+version = "2.1.0"
+requires_python = ">=3.8"
+summary = "HTTP library with thread-safe connection pooling, file post, and more."
+files = [
+    {file = "urllib3-2.1.0-py3-none-any.whl", hash = "sha256:55901e917a5896a349ff771be919f8bd99aff50b79fe58fec595eb37bbc56bb3"},
+    {file = "urllib3-2.1.0.tar.gz", hash = "sha256:df7aa8afb0148fa78488e7899b2c59b5f4ffcfa82e6c54ccb9dd37c1d7b52d54"},
+]
+
 [[package]]
 name = "uvicorn"
 version = "0.25.0"

server/pyproject.toml

@@ -8,6 +8,8 @@ authors = [
 dependencies = [
     "fastapi>=0.109.0",
     "uvicorn[standard]>=0.25.0",
+    "numpy>=1.26.3",
+    "transformers[torch]>=4.36.2",
 ]
 requires-python = ">=3.11"
 readme = "README.md"

server/src/main.py

@@ -1,4 +1,8 @@
+import pickle
 from typing import Union
+from fastapi import Request
+import torch
+from transformers import pipeline
 
 from fastapi import FastAPI
 
@@ -10,6 +14,28 @@ def read_root():
     return {"status": "ok"}
 
 
+TRANSCRIBE_PIPELINE = pipeline(
+    "automatic-speech-recognition",
+    model="openai/whisper-large-v3",
+    torch_dtype=torch.float16,
+    device="mps",
+    model_kwargs={"attn_implementation": "sdpa"},
+)
+
+
 @app.post("/transcribe")
-def transcribe(audio: bytes):
-    return {"transcribe": "hello"}
+async def transcribe(request: Request):
+    body = await request.body()
+    audio_chunk = pickle.loads(body)
+    outputs = TRANSCRIBE_PIPELINE.pipe(
+        audio_chunk,
+        chunk_length_s=30,
+        batch_size=24,
+        generate_kwargs={
+            'task': 'transcribe',
+            'language': 'english'
+        },
+        return_timestamps='word'
+    )
+    text = outputs["text"].strip()
+    return {"transcribe": text}