initial webrtc with backend /frontend example
This commit is contained in:
257
poetry.lock
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257
poetry.lock
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@@ -1,5 +1,57 @@
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# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
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[[package]]
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name = "azure-cognitiveservices-speech"
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version = "1.44.0"
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description = "Microsoft Cognitive Services Speech SDK for Python"
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optional = false
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python-versions = ">=3.7"
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[package.dependencies]
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{file = "charset_normalizer-3.4.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:75d10d37a47afee94919c4fab4c22b9bc2a8bf7d4f46f87363bcf0573f3ff4f5"},
|
||||
{file = "charset_normalizer-3.4.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6333b3aa5a12c26b2a4d4e7335a28f1475e0e5e17d69d55141ee3cab736f66d1"},
|
||||
{file = "charset_normalizer-3.4.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e8323a9b031aa0393768b87f04b4164a40037fb2a3c11ac06a03ffecd3618027"},
|
||||
{file = "charset_normalizer-3.4.2-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:24498ba8ed6c2e0b56d4acbf83f2d989720a93b41d712ebd4f4979660db4417b"},
|
||||
{file = "charset_normalizer-3.4.2-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:844da2b5728b5ce0e32d863af26f32b5ce61bc4273a9c720a9f3aa9df73b1455"},
|
||||
{file = "charset_normalizer-3.4.2-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:65c981bdbd3f57670af8b59777cbfae75364b483fa8a9f420f08094531d54a01"},
|
||||
{file = "charset_normalizer-3.4.2-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:3c21d4fca343c805a52c0c78edc01e3477f6dd1ad7c47653241cf2a206d4fc58"},
|
||||
{file = "charset_normalizer-3.4.2-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:dc7039885fa1baf9be153a0626e337aa7ec8bf96b0128605fb0d77788ddc1681"},
|
||||
{file = "charset_normalizer-3.4.2-cp38-cp38-win32.whl", hash = "sha256:8272b73e1c5603666618805fe821edba66892e2870058c94c53147602eab29c7"},
|
||||
{file = "charset_normalizer-3.4.2-cp38-cp38-win_amd64.whl", hash = "sha256:70f7172939fdf8790425ba31915bfbe8335030f05b9913d7ae00a87d4395620a"},
|
||||
{file = "charset_normalizer-3.4.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:005fa3432484527f9732ebd315da8da8001593e2cf46a3d817669f062c3d9ed4"},
|
||||
{file = "charset_normalizer-3.4.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e92fca20c46e9f5e1bb485887d074918b13543b1c2a1185e69bb8d17ab6236a7"},
|
||||
{file = "charset_normalizer-3.4.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:50bf98d5e563b83cc29471fa114366e6806bc06bc7a25fd59641e41445327836"},
|
||||
{file = "charset_normalizer-3.4.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:721c76e84fe669be19c5791da68232ca2e05ba5185575086e384352e2c309597"},
|
||||
{file = "charset_normalizer-3.4.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:82d8fd25b7f4675d0c47cf95b594d4e7b158aca33b76aa63d07186e13c0e0ab7"},
|
||||
{file = "charset_normalizer-3.4.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b3daeac64d5b371dea99714f08ffc2c208522ec6b06fbc7866a450dd446f5c0f"},
|
||||
{file = "charset_normalizer-3.4.2-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:dccab8d5fa1ef9bfba0590ecf4d46df048d18ffe3eec01eeb73a42e0d9e7a8ba"},
|
||||
{file = "charset_normalizer-3.4.2-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:aaf27faa992bfee0264dc1f03f4c75e9fcdda66a519db6b957a3f826e285cf12"},
|
||||
{file = "charset_normalizer-3.4.2-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:eb30abc20df9ab0814b5a2524f23d75dcf83cde762c161917a2b4b7b55b1e518"},
|
||||
{file = "charset_normalizer-3.4.2-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:c72fbbe68c6f32f251bdc08b8611c7b3060612236e960ef848e0a517ddbe76c5"},
|
||||
{file = "charset_normalizer-3.4.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:982bb1e8b4ffda883b3d0a521e23abcd6fd17418f6d2c4118d257a10199c0ce3"},
|
||||
{file = "charset_normalizer-3.4.2-cp39-cp39-win32.whl", hash = "sha256:43e0933a0eff183ee85833f341ec567c0980dae57c464d8a508e1b2ceb336471"},
|
||||
{file = "charset_normalizer-3.4.2-cp39-cp39-win_amd64.whl", hash = "sha256:d11b54acf878eef558599658b0ffca78138c8c3655cf4f3a4a673c437e67732e"},
|
||||
{file = "charset_normalizer-3.4.2-py3-none-any.whl", hash = "sha256:7f56930ab0abd1c45cd15be65cc741c28b1c9a34876ce8c17a2fa107810c0af0"},
|
||||
{file = "charset_normalizer-3.4.2.tar.gz", hash = "sha256:5baececa9ecba31eff645232d59845c07aa030f0c81ee70184a90d35099a0e63"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "idna"
|
||||
version = "3.10"
|
||||
description = "Internationalized Domain Names in Applications (IDNA)"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
|
||||
{file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
|
||||
|
||||
[[package]]
|
||||
name = "numpy"
|
||||
version = "2.2.6"
|
||||
@@ -157,6 +326,40 @@ files = [
|
||||
{file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "requests"
|
||||
version = "2.32.3"
|
||||
description = "Python HTTP for Humans."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
|
||||
{file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
certifi = ">=2017.4.17"
|
||||
charset-normalizer = ">=2,<4"
|
||||
idna = ">=2.5,<4"
|
||||
urllib3 = ">=1.21.1,<3"
|
||||
|
||||
[package.extras]
|
||||
socks = ["PySocks (>=1.5.6,!=1.5.7)"]
|
||||
use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
|
||||
|
||||
[[package]]
|
||||
name = "six"
|
||||
version = "1.17.0"
|
||||
description = "Python 2 and 3 compatibility utilities"
|
||||
optional = false
|
||||
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
|
||||
{file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "sounddevice"
|
||||
version = "0.5.2"
|
||||
@@ -178,7 +381,59 @@ CFFI = ">=1.0"
|
||||
[package.extras]
|
||||
numpy = ["NumPy"]
|
||||
|
||||
[[package]]
|
||||
name = "soundfile"
|
||||
version = "0.13.1"
|
||||
description = "An audio library based on libsndfile, CFFI and NumPy"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "soundfile-0.13.1-py2.py3-none-any.whl", hash = "sha256:a23c717560da2cf4c7b5ae1142514e0fd82d6bbd9dfc93a50423447142f2c445"},
|
||||
{file = "soundfile-0.13.1-py2.py3-none-macosx_10_9_x86_64.whl", hash = "sha256:82dc664d19831933fe59adad199bf3945ad06d84bc111a5b4c0d3089a5b9ec33"},
|
||||
{file = "soundfile-0.13.1-py2.py3-none-macosx_11_0_arm64.whl", hash = "sha256:743f12c12c4054921e15736c6be09ac26b3b3d603aef6fd69f9dde68748f2593"},
|
||||
{file = "soundfile-0.13.1-py2.py3-none-manylinux_2_28_aarch64.whl", hash = "sha256:9c9e855f5a4d06ce4213f31918653ab7de0c5a8d8107cd2427e44b42df547deb"},
|
||||
{file = "soundfile-0.13.1-py2.py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:03267c4e493315294834a0870f31dbb3b28a95561b80b134f0bd3cf2d5f0e618"},
|
||||
{file = "soundfile-0.13.1-py2.py3-none-win32.whl", hash = "sha256:c734564fab7c5ddf8e9be5bf70bab68042cd17e9c214c06e365e20d64f9a69d5"},
|
||||
{file = "soundfile-0.13.1-py2.py3-none-win_amd64.whl", hash = "sha256:1e70a05a0626524a69e9f0f4dd2ec174b4e9567f4d8b6c11d38b5c289be36ee9"},
|
||||
{file = "soundfile-0.13.1.tar.gz", hash = "sha256:b2c68dab1e30297317080a5b43df57e302584c49e2942defdde0acccc53f0e5b"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
cffi = ">=1.0"
|
||||
numpy = "*"
|
||||
|
||||
[[package]]
|
||||
name = "typing-extensions"
|
||||
version = "4.13.2"
|
||||
description = "Backported and Experimental Type Hints for Python 3.8+"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "typing_extensions-4.13.2-py3-none-any.whl", hash = "sha256:a439e7c04b49fec3e5d3e2beaa21755cadbbdc391694e28ccdd36ca4a1408f8c"},
|
||||
{file = "typing_extensions-4.13.2.tar.gz", hash = "sha256:e6c81219bd689f51865d9e372991c540bda33a0379d5573cddb9a3a23f7caaef"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "urllib3"
|
||||
version = "2.4.0"
|
||||
description = "HTTP library with thread-safe connection pooling, file post, and more."
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "urllib3-2.4.0-py3-none-any.whl", hash = "sha256:4e16665048960a0900c702d4a66415956a584919c03361cac9f1df5c5dd7e813"},
|
||||
{file = "urllib3-2.4.0.tar.gz", hash = "sha256:414bc6535b787febd7567804cc015fee39daab8ad86268f1310a9250697de466"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
|
||||
h2 = ["h2 (>=4,<5)"]
|
||||
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
|
||||
zstd = ["zstandard (>=0.18.0)"]
|
||||
|
||||
[metadata]
|
||||
lock-version = "2.1"
|
||||
python-versions = ">=3.11"
|
||||
content-hash = "2566aa86e8f144d92e15a2f10471861204ecc2ca38aff165de731d7575921e9a"
|
||||
content-hash = "6420cbfb485f117a5f01e493230e8c91629e0270b5a6904986199901a8c28774"
|
||||
|
||||
@@ -9,7 +9,9 @@ readme = "README.md"
|
||||
requires-python = ">=3.11"
|
||||
dependencies = [
|
||||
"numpy (>=2.2.6,<3.0.0)",
|
||||
"sounddevice (>=0.5.2,<0.6.0)"
|
||||
"sounddevice (>=0.5.2,<0.6.0)",
|
||||
"soundfile (>=0.13.1,<0.14.0)",
|
||||
"azure-cognitiveservices-speech (>=1.44.0,<2.0.0)"
|
||||
]
|
||||
|
||||
|
||||
|
||||
85
src/mic_rtc_streaming/backend/backend.py
Normal file
85
src/mic_rtc_streaming/backend/backend.py
Normal file
@@ -0,0 +1,85 @@
|
||||
# backend/main.py
|
||||
import asyncio, logging, uuid
|
||||
|
||||
from typing import List, Set
|
||||
|
||||
from fastapi import FastAPI, WebSocket
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
from pydantic import BaseModel
|
||||
from aiortc import RTCPeerConnection, RTCSessionDescription, MediaStreamTrack
|
||||
|
||||
# Global: desired packetization time in ms for Opus (change here to affect both backend and frontend)
|
||||
PTIME = 40
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
# Allow CORS for frontend on localhost
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=["*"], # You can restrict this to ["http://localhost:8501"] if you want
|
||||
allow_credentials=True,
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
)
|
||||
|
||||
pcs: Set[RTCPeerConnection] = set() # keep refs so they don’t GC early
|
||||
|
||||
class Offer(BaseModel):
|
||||
sdp: str
|
||||
type: str
|
||||
|
||||
@app.post("/offer")
|
||||
async def offer(offer: Offer):
|
||||
logging.info("/offer endpoint called")
|
||||
|
||||
pc = RTCPeerConnection() # No STUN needed for localhost
|
||||
pcs.add(pc)
|
||||
id_ = uuid.uuid4().hex[:8]
|
||||
logging.info(f"{id_}: new PeerConnection")
|
||||
|
||||
@pc.on("track")
|
||||
async def on_track(track: MediaStreamTrack):
|
||||
logging.info(f"{id_}: track {track.kind} received")
|
||||
try:
|
||||
first = True
|
||||
while True:
|
||||
pkt = await track.recv() # RTP audio frame (already decrypted)
|
||||
pkt_bytes = bytes(pkt.planes[0])
|
||||
if first:
|
||||
logging.info(
|
||||
f"{id_}: frame sample_rate={pkt.sample_rate}, channels={pkt.layout.channels}, format={pkt.format.name}"
|
||||
)
|
||||
logging.info(f"{id_}: received audio frame of len {len(pkt_bytes)} bytes") #received audio frame of len 23040 bytes
|
||||
first = False
|
||||
# TODO: write to file, pipe to ASR, etc.
|
||||
except Exception as e:
|
||||
logging.error(f"{id_}: Exception in on_track: {e}")
|
||||
|
||||
# --- SDP negotiation ---
|
||||
logging.info(f"{id_}: setting remote description")
|
||||
await pc.setRemoteDescription(RTCSessionDescription(**offer.dict()))
|
||||
|
||||
logging.info(f"{id_}: creating answer")
|
||||
answer = await pc.createAnswer()
|
||||
sdp = answer.sdp
|
||||
# Insert a=ptime using the global PTIME variable
|
||||
ptime_line = f"a=ptime:{PTIME}"
|
||||
if "a=sendrecv" in sdp:
|
||||
sdp = sdp.replace("a=sendrecv", f"a=sendrecv\n{ptime_line}")
|
||||
else:
|
||||
sdp += f"\n{ptime_line}"
|
||||
new_answer = RTCSessionDescription(sdp=sdp, type=answer.type)
|
||||
await pc.setLocalDescription(new_answer)
|
||||
logging.info(f"{id_}: sending answer with {ptime_line}")
|
||||
return {"sdp": pc.localDescription.sdp,
|
||||
"type": pc.localDescription.type}
|
||||
|
||||
@app.on_event("shutdown")
|
||||
async def cleanup():
|
||||
coros = [pc.close() for pc in pcs]
|
||||
await asyncio.gather(*coros)
|
||||
|
||||
if __name__ == "__main__":
|
||||
import uvicorn
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
uvicorn.run("backend:app", host="0.0.0.0", port=8000)
|
||||
75
src/mic_rtc_streaming/frontend/frontend.py
Normal file
75
src/mic_rtc_streaming/frontend/frontend.py
Normal file
@@ -0,0 +1,75 @@
|
||||
# frontend/app.py
|
||||
import streamlit as st
|
||||
import requests
|
||||
|
||||
# Global: desired packetization time in ms for Opus (should match backend)
|
||||
PTIME = 40
|
||||
BACKEND_URL = "http://localhost:8000"
|
||||
|
||||
def main():
|
||||
|
||||
st.title("🎙️ WebRTC mic → backend demo")
|
||||
st.markdown("Click start and speak; watch your backend logs to see incoming RTP.")
|
||||
|
||||
component = f"""
|
||||
<button id='go'>Start microphone</button>
|
||||
<script>
|
||||
const go = document.getElementById('go');
|
||||
go.onclick = async () => {{
|
||||
go.disabled = true;
|
||||
const pc = new RTCPeerConnection(); // No STUN needed for localhost
|
||||
const stream = await navigator.mediaDevices.getUserMedia({{audio:true}});
|
||||
stream.getTracks().forEach(t => pc.addTrack(t, stream));
|
||||
|
||||
// --- WebRTC offer/answer exchange ---
|
||||
const offer = await pc.createOffer()
|
||||
// Patch SDP offer to include a=ptime using global PTIME
|
||||
let sdp = offer.sdp;
|
||||
const ptime_line = 'a=ptime:{PTIME}';
|
||||
const maxptime_line = 'a=maxptime:{PTIME}';
|
||||
if (sdp.includes('a=sendrecv')) {{
|
||||
sdp = sdp.replace('a=sendrecv', 'a=sendrecv\\n' + ptime_line + '\\n' + maxptime_line);
|
||||
}} else {{
|
||||
sdp += '\\n' + ptime_line + '\\n' + maxptime_line;
|
||||
}}
|
||||
const patched_offer = new RTCSessionDescription({{sdp, type: offer.type}})
|
||||
await pc.setLocalDescription(patched_offer)
|
||||
|
||||
// Send offer to backend
|
||||
const response = await fetch(
|
||||
"{BACKEND_URL}/offer",
|
||||
{{
|
||||
method: 'POST',
|
||||
headers: {{'Content-Type':'application/json'}},
|
||||
body: JSON.stringify({{sdp: pc.localDescription.sdp, type: pc.localDescription.type}})
|
||||
}}
|
||||
)
|
||||
const answer = await response.json()
|
||||
await pc.setRemoteDescription(new RTCSessionDescription({{sdp: answer.sdp, type: answer.type}}))
|
||||
}};
|
||||
</script>
|
||||
"""
|
||||
st.components.v1.html(component, height=80)
|
||||
|
||||
# if __name__ == "__main__":
|
||||
# import sys
|
||||
# import os
|
||||
# from pathlib import Path
|
||||
|
||||
# # Prevent infinite relaunch loop if already running inside Streamlit
|
||||
# if os.environ.get("STREAMLIT_SERVER_RUNNING") == "1":
|
||||
# # Already running in Streamlit, do nothing special
|
||||
# pass
|
||||
# else:
|
||||
# venv_bin = Path(__file__).resolve().parent.parent.parent.parent / ".venv/bin"
|
||||
# streamlit_bin = venv_bin / "streamlit"
|
||||
# if streamlit_bin.exists():
|
||||
# cmd = f"{streamlit_bin} run {sys.argv[0]}"
|
||||
|
||||
# Ensure Streamlit runs the UI code
|
||||
main()
|
||||
|
||||
# else:
|
||||
# cmd = f"streamlit run {sys.argv[0]}"
|
||||
# os.execvp("/bin/bash", ["/bin/bash", "-c", f"source {venv_bin}/activate && {cmd}"])
|
||||
|
||||
26
src/mic_rtc_streaming/run.sh
Normal file
26
src/mic_rtc_streaming/run.sh
Normal file
@@ -0,0 +1,26 @@
|
||||
#!/bin/bash
|
||||
|
||||
# Kill any orphaned backend/frontend processes from previous runs
|
||||
pkill -f "uvicorn backend.backend:app" 2>/dev/null
|
||||
pkill -f "streamlit run frontend/frontend.py" 2>/dev/null
|
||||
|
||||
# Start backend
|
||||
uvicorn backend.backend:app --host 0.0.0.0 --port 8000 &
|
||||
BACKEND_PID=$!
|
||||
|
||||
# Start frontend
|
||||
streamlit run frontend/frontend.py &
|
||||
FRONTEND_PID=$!
|
||||
|
||||
# Trap exit signals to kill both processes
|
||||
cleanup() {
|
||||
echo "Stopping frontend (PID $FRONTEND_PID)..."
|
||||
kill $FRONTEND_PID 2>/dev/null
|
||||
echo "Stopping backend (PID $BACKEND_PID)..."
|
||||
kill $BACKEND_PID 2>/dev/null
|
||||
exit 0
|
||||
}
|
||||
trap cleanup SIGINT SIGTERM EXIT
|
||||
|
||||
# Wait for both to finish
|
||||
wait
|
||||
30
src/realtime_translator/README.md
Normal file
30
src/realtime_translator/README.md
Normal file
@@ -0,0 +1,30 @@
|
||||
# Real-Time Translator
|
||||
|
||||
This package provides real-time speech translation using OpenAI Whisper, GPT-4o mini, and a neutral TTS voice.
|
||||
|
||||
## Features
|
||||
- Audio input (microphone or file)
|
||||
- Transcription (Whisper)
|
||||
- Translation (GPT-4o mini)
|
||||
- Speech synthesis (OpenAI TTS, neutral voice)
|
||||
|
||||
## Usage
|
||||
```
|
||||
from realtime_translator.translator import RealTimeTranslator
|
||||
|
||||
translator = RealTimeTranslator(openai_api_key="sk-...", source_lang="de", target_lang="en")
|
||||
translator.process("input.wav", "output.wav")
|
||||
```
|
||||
|
||||
## Requirements
|
||||
- openai
|
||||
- sounddevice
|
||||
- soundfile
|
||||
|
||||
## Install
|
||||
```
|
||||
pip install -r requirements.txt
|
||||
```
|
||||
|
||||
## Note
|
||||
You need an OpenAI API key with access to Whisper, GPT-4o, and TTS endpoints.
|
||||
3
src/realtime_translator/__init__.py
Normal file
3
src/realtime_translator/__init__.py
Normal file
@@ -0,0 +1,3 @@
|
||||
# Real-time Translator Package
|
||||
|
||||
# This package provides real-time speech translation using OpenAI Whisper, GPT-4o mini, and TTS.
|
||||
39
src/realtime_translator/speech_translation.py
Normal file
39
src/realtime_translator/speech_translation.py
Normal file
@@ -0,0 +1,39 @@
|
||||
# pip install azure-cognitiveservices-speech
|
||||
# see https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-translation
|
||||
|
||||
import os
|
||||
import azure.cognitiveservices.speech as speechsdk
|
||||
|
||||
ENDPOINT = ""
|
||||
SPEECH_KEY = ""
|
||||
|
||||
def recognize_from_microphone():
|
||||
# This example requires environment variables named "SPEECH_KEY" and "ENDPOINT"
|
||||
# Replace with your own subscription key and endpoint, the endpoint is like : "https://YourServiceRegion.api.cognitive.microsoft.com"
|
||||
speech_translation_config = speechsdk.translation.SpeechTranslationConfig(subscription=SPEECH_KEY, endpoint=ENDPOINT)
|
||||
speech_translation_config.speech_recognition_language="en-US"
|
||||
|
||||
to_language ="it"
|
||||
speech_translation_config.add_target_language(to_language)
|
||||
|
||||
audio_config = speechsdk.audio.AudioConfig(use_default_microphone=True)
|
||||
translation_recognizer = speechsdk.translation.TranslationRecognizer(translation_config=speech_translation_config, audio_config=audio_config)
|
||||
|
||||
print("Speak into your microphone.")
|
||||
translation_recognition_result = translation_recognizer.recognize_once_async().get()
|
||||
|
||||
if translation_recognition_result.reason == speechsdk.ResultReason.TranslatedSpeech:
|
||||
print("Recognized: {}".format(translation_recognition_result.text))
|
||||
print("""Translated into '{}': {}""".format(
|
||||
to_language,
|
||||
translation_recognition_result.translations[to_language]))
|
||||
elif translation_recognition_result.reason == speechsdk.ResultReason.NoMatch:
|
||||
print("No speech could be recognized: {}".format(translation_recognition_result.no_match_details))
|
||||
elif translation_recognition_result.reason == speechsdk.ResultReason.Canceled:
|
||||
cancellation_details = translation_recognition_result.cancellation_details
|
||||
print("Speech Recognition canceled: {}".format(cancellation_details.reason))
|
||||
if cancellation_details.reason == speechsdk.CancellationReason.Error:
|
||||
print("Error details: {}".format(cancellation_details.error_details))
|
||||
print("Did you set the speech resource key and endpoint values?")
|
||||
|
||||
recognize_from_microphone()
|
||||
Reference in New Issue
Block a user