{
"cells": [
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" "
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# OpenAI API test (non-streaming)\n",
"from openai import OpenAI\n",
"from IPython.display import Audio, display\n",
"\n",
"# Initialize the client\n",
"client = OpenAI(api_key=\"dummy-key\", base_url=\"http://localhost:8000/v1\")\n",
"\n",
"# Generate audio\n",
"response = client.audio.speech.create(\n",
" model=\"tts-1\",\n",
" voice=\"echo\",\n",
" input=\"\"\"\n",
" 以下是一些中英文对照的话语。 \n",
" 1. 早上好！希望你有美好的一天。Good morning! Wish you a wonderful day. \n",
" 2. 你好呀，最近怎么样？Hello there, how have you been recently? \n",
" 3. 别放弃，你能做到的！Don't give up, you can do it! \n",
" 4. 继续努力，你的付出会有回报的。Keep up the good work, your efforts will pay off.\n",
" \"\"\",\n",
" response_format=\"wav\",\n",
")\n",
"\n",
"# Get audio binary data\n",
"audio_data = response.content # response.content is of type bytes\n",
"\n",
"# Display and play in the Notebook\n",
"display(Audio(audio_data, autoplay=False))"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" "
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Audio has been loaded into the Notebook and can be played manually\n"
]
}
],
"source": [
"# Test using the requests module, streaming mode\n",
"import requests\n",
"from IPython.display import Audio, display\n",
"import io\n",
"\n",
"payload = {\n",
" \"model\": \"tts-1\",\n",
" \"input\": \"\"\"\n",
" 以下是一些中英文对照的话语。 \n",
" 1. 早上好！希望你有美好的一天。Good morning! Wish you a wonderful day. \n",
" 2. 你好呀，最近怎么样？Hello there, how have you been recently? \n",
" 3. 别放弃，你能做到的！Don't give up, you can do it! \n",
" 4. 继续努力，你的付出会有回报的。Keep up the good work, your efforts will pay off.\n",
" \"\"\",\n",
" \"voice\": \"echo\",\n",
" \"response_format\": \"wav\",\n",
" \"stream\": True,\n",
"}\n",
"\n",
"try:\n",
" response = requests.post(\n",
" \"http://localhost:8000/v1/audio/speech\", json=payload, stream=True\n",
" )\n",
" response.raise_for_status() # Check the status code\n",
"\n",
" audio_buffer = io.BytesIO()\n",
" for chunk in response.iter_content(chunk_size=8192):\n",
" if chunk:\n",
" audio_buffer.write(chunk)\n",
"\n",
" audio_buffer.seek(0)\n",
" display(Audio(audio_buffer.getvalue(), autoplay=False))\n",
" print(\"Audio has been loaded into the Notebook and can be played manually\")\n",
"except requests.exceptions.RequestException as e:\n",
" print(f\"Request failed: {str(e)}\")\n",
" if hasattr(e.response, \"text\"):\n",
" print(f\"Error details: {e.response.text}\")"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[file] Reading from stdin...\n",
"[ffmpeg/demuxer] wav: Ignoring maximum wav data size, file may be invalid\n",
"● Audio --aid=1 (pcm_s16le 1ch 24000 Hz 384 kbps)\n",
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"Exiting... (End of file)\n"
]
},
{
"data": {
"text/plain": [
"CompletedProcess(args='curl -X POST \"http://localhost:8000/v1/audio/speech\" -H \"Content-Type: application/json\" -d \\'{\"model\": \"tts-1\", \"input\": \"以下是一些中英文对照的话语。 1. 早上好！希望你有美好的一天。Good morning! Wish you a wonderful day. 2. 你好呀，最近怎么样？Hello there, how have you been recently? 3. 别放弃，你能做到的！Dont give up, you can do it! 4. 继续努力，你的付出会有回报的。Keep up the good work, your efforts will pay off.\", \"voice\": \"echo\", \"response_format\": \"wav\", \"stream\": true}\\' -s | mpv --no-video -', returncode=0)"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import subprocess\n",
"\n",
"# Use pipeline to implement streaming playback, WAV format\n",
"cmd = (\n",
" 'curl -X POST \"http://localhost:8000/v1/audio/speech\" '\n",
" '-H \"Content-Type: application/json\" '\n",
" '-d \\'{\"model\": \"tts-1\", \"input\": \"以下是一些中英文对照的话语。 1. 早上好！希望你有美好的一天。Good morning! Wish you a wonderful day. 2. 你好呀，最近怎么样？Hello there, how have you been recently? 3. 别放弃，你能做到的！Dont give up, you can do it! 4. 继续努力，你的付出会有回报的。Keep up the good work, your efforts will pay off.\", \"voice\": \"echo\", \"response_format\": \"wav\", \"stream\": true}\\' '\n",
" \"-s | mpv --no-video -\"\n",
")\n",
"subprocess.run(cmd, shell=True, check=True)"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[file] Reading from stdin...\n",
"[ffmpeg/demuxer] mp3: invalid concatenated file detected - using bitrate for duration\n",
"● Audio --aid=1 (mp3 2ch 48000 Hz 128 kbps)\n",
"AO: [pipewire] 48000Hz stereo 2ch floatp\n",
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"[ffmpeg/audio] mp3float: Header missing\n",
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"Error decoding audio.\n",
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"Error decoding audio.\n",
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"Error decoding audio.\n",
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"Error decoding audio.\n",
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"Error decoding audio.\n",
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"Error decoding audio.\n",
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"Error decoding audio.\n",
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"Error decoding audio.\n",
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"Error decoding audio.\n",
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"Error decoding audio.\n",
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"[ffmpeg/audio] mp3float: Header missing\n",
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"Error decoding audio.\n",
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"[ffmpeg/audio] mp3float: Header missing\n",
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"Error decoding audio.\n",
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"[ffmpeg/audio] mp3float: Header missing\n",
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"Error decoding audio.\n",
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"[ffmpeg/audio] mp3float: Header missing\n",
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"Error decoding audio.\n",
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"[ffmpeg/audio] mp3float: Header missing\n",
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"Error decoding audio.\n",
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"[ffmpeg/audio] mp3float: Header missing\n",
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"Error decoding audio.\n",
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"[ffmpeg/audio] mp3float: Header missing\n",
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"Error decoding audio.\n",
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"[ffmpeg/audio] mp3float: Header missing\n",
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"Error decoding audio.\n",
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"[ffmpeg/audio] mp3float: Header missing\n",
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"Error decoding audio.\n",
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"[ffmpeg/audio] mp3float: Header missing\n",
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"Error decoding audio.\n",
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"[ffmpeg/audio] mp3float: Header missing\n",
"A: 00:00:13 / 00:00:28 (47%) Cache: 14s/556KB\n",
"Error decoding audio.\n",
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"[ffmpeg/audio] mp3float: Header missing\n",
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"Error decoding audio.\n",
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"[ffmpeg/audio] mp3float: Header missing\n",
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"Error decoding audio.\n",
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"[ffmpeg/audio] mp3float: Header missing\n",
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"Error decoding audio.\n",
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"A: 00:00:15 / 00:00:28 (54%) Cache: 12s/473KB\n",
"[ffmpeg/audio] mp3float: Header missing\n",
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"Error decoding audio.\n",
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"A: 00:00:16 / 00:00:28 (56%) Cache: 12s/453KB\n",
"[ffmpeg/audio] mp3float: Header missing\n",
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"Error decoding audio.\n",
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"[ffmpeg/audio] mp3float: Header missing\n",
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"Error decoding audio.\n",
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"[ffmpeg/audio] mp3float: Header missing\n",
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"Error decoding audio.\n",
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"[ffmpeg/audio] mp3float: Header missing\n",
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"Error decoding audio.\n",
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"A: 00:00:18 / 00:00:28 (64%) Cache: 9.9s/371KB\n",
"[ffmpeg/audio] mp3float: Header missing\n",
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"Error decoding audio.\n",
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"A: 00:00:18 / 00:00:28 (66%) Cache: 9.3s/348KB\n",
"[ffmpeg/audio] mp3float: Header missing\n",
"A: 00:00:18 / 00:00:28 (66%) Cache: 9.3s/348KB\n",
"Error decoding audio.\n",
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"A: 00:00:18 / 00:00:28 (66%) Cache: 9.2s/346KB\n",
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"A: 00:00:19 / 00:00:28 (68%) Cache: 8.7s/327KB\n",
"[ffmpeg/audio] mp3float: Header missing\n",
"A: 00:00:19 / 00:00:28 (68%) Cache: 8.7s/327KB\n",
"Error decoding audio.\n",
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"A: 00:00:19 / 00:00:28 (68%) Cache: 8.7s/325KB\n",
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"A: 00:00:19 / 00:00:28 (69%) Cache: 8.3s/312KB\n",
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"A: 00:00:19 / 00:00:28 (70%) Cache: 8.2s/308KB\n",
"[ffmpeg/audio] mp3float: Header missing\n",
"A: 00:00:19 / 00:00:28 (70%) Cache: 8.2s/308KB\n",
"Error decoding audio.\n",
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"A: 00:00:20 / 00:00:28 (70%) Cache: 8.1s/304KB\n",
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"A: 00:00:20 / 00:00:28 (72%) Cache: 7.7s/288KB\n",
"[ffmpeg/audio] mp3float: Header missing\n",
"A: 00:00:20 / 00:00:28 (72%) Cache: 7.7s/288KB\n",
"Error decoding audio.\n",
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"A: 00:00:20 / 00:00:28 (72%) Cache: 7.6s/284KB\n",
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"A: 00:00:21 / 00:00:28 (74%) Cache: 7.1s/265KB\n",
"[ffmpeg/audio] mp3float: Header missing\n",
"A: 00:00:21 / 00:00:28 (74%) Cache: 7.1s/265KB\n",
"Error decoding audio.\n",
"A: 00:00:21 / 00:00:28 (74%) Cache: 7.1s/265KB\n",
"A: 00:00:21 / 00:00:28 (74%) Cache: 7.0s/262KB\n",
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"A: 00:00:21 / 00:00:28 (75%) Cache: 6.6s/247KB\n",
"A: 00:00:21 / 00:00:28 (76%) Cache: 6.5s/245KB\n",
"[ffmpeg/audio] mp3float: Header missing\n",
"A: 00:00:21 / 00:00:28 (76%) Cache: 6.5s/245KB\n",
"Error decoding audio.\n",
"A: 00:00:21 / 00:00:28 (76%) Cache: 6.5s/245KB\n",
"A: 00:00:21 / 00:00:28 (76%) Cache: 6.5s/242KB\n",
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"A: 00:00:21 / 00:00:28 (77%) Cache: 6.2s/232KB\n",
"A: 00:00:22 / 00:00:28 (77%) Cache: 6.1s/229KB\n",
"A: 00:00:22 / 00:00:28 (77%) Cache: 6.1s/228KB\n",
"A: 00:00:22 / 00:00:28 (78%) Cache: 6.0s/225KB\n",
"[ffmpeg/audio] mp3float: Header missing\n",
"A: 00:00:22 / 00:00:28 (78%) Cache: 6.0s/225KB\n",
"Error decoding audio.\n",
"A: 00:00:22 / 00:00:28 (78%) Cache: 6.0s/225KB\n",
"A: 00:00:22 / 00:00:28 (78%) Cache: 5.9s/221KB\n",
"A: 00:00:22 / 00:00:28 (78%) Cache: 5.9s/220KB\n",
"A: 00:00:22 / 00:00:28 (78%) Cache: 5.8s/217KB\n",
"A: 00:00:22 / 00:00:28 (79%) Cache: 5.7s/214KB\n",
"A: 00:00:22 / 00:00:28 (79%) Cache: 5.7s/212KB\n",
"A: 00:00:22 / 00:00:28 (79%) Cache: 5.6s/210KB\n",
"A: 00:00:22 / 00:00:28 (79%) Cache: 5.5s/207KB\n",
"A: 00:00:22 / 00:00:28 (79%) Cache: 5.5s/205KB\n",
"[ffmpeg/audio] mp3float: Header missing\n",
"A: 00:00:22 / 00:00:28 (79%) Cache: 5.5s/205KB\n",
"Error decoding audio.\n",
"A: 00:00:22 / 00:00:28 (79%) Cache: 5.5s/205KB\n",
"A: 00:00:22 / 00:00:28 (80%) Cache: 5.4s/202KB\n",
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"A: 00:00:23 / 00:00:28 (81%) Cache: 4.9s/184KB\n",
"A: 00:00:23 / 00:00:28 (82%) Cache: 4.9s/182KB\n",
"[ffmpeg/audio] mp3float: Header missing\n",
"A: 00:00:23 / 00:00:28 (82%) Cache: 4.9s/182KB\n",
"Error decoding audio.\n",
"A: 00:00:23 / 00:00:28 (82%) Cache: 4.9s/182KB\n",
"A: 00:00:23 / 00:00:28 (82%) Cache: 4.8s/179KB\n",
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"A: 00:00:23 / 00:00:28 (83%) Cache: 4.3s/162KB\n",
"[ffmpeg/audio] mp3float: Header missing\n",
"A: 00:00:23 / 00:00:28 (83%) Cache: 4.3s/162KB\n",
"Error decoding audio.\n",
"A: 00:00:23 / 00:00:28 (83%) Cache: 4.3s/162KB\n",
"A: 00:00:23 / 00:00:28 (84%) Cache: 4.2s/159KB\n",
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"A: 00:00:24 / 00:00:28 (84%) Cache: 4.1s/152KB\n",
"A: 00:00:24 / 00:00:28 (85%) Cache: 4.0s/149KB\n",
"A: 00:00:24 / 00:00:28 (85%) Cache: 3.9s/147KB\n",
"A: 00:00:24 / 00:00:28 (85%) Cache: 3.9s/145KB\n",
"A: 00:00:24 / 00:00:28 (85%) Cache: 3.8s/142KB\n",
"[ffmpeg/audio] mp3float: Header missing\n",
"A: 00:00:24 / 00:00:28 (85%) Cache: 3.8s/142KB\n",
"Error decoding audio.\n",
"A: 00:00:24 / 00:00:28 (85%) Cache: 3.8s/142KB\n",
"A: 00:00:24 / 00:00:28 (86%) Cache: 3.7s/139KB\n",
"A: 00:00:24 / 00:00:28 (86%) Cache: 3.6s/137KB\n",
"A: 00:00:24 / 00:00:28 (86%) Cache: 3.6s/134KB\n",
"A: 00:00:24 / 00:00:28 (86%) Cache: 3.5s/131KB\n",
"A: 00:00:24 / 00:00:28 (87%) Cache: 3.5s/129KB\n",
"A: 00:00:24 / 00:00:28 (87%) Cache: 3.4s/127KB\n",
"A: 00:00:24 / 00:00:28 (87%) Cache: 3.3s/124KB\n",
"A: 00:00:24 / 00:00:28 (87%) Cache: 3.3s/122KB\n",
"[ffmpeg/audio] mp3float: Header missing\n",
"A: 00:00:24 / 00:00:28 (87%) Cache: 3.3s/122KB\n",
"Error decoding audio.\n",
"A: 00:00:24 / 00:00:28 (87%) Cache: 3.3s/122KB\n",
"A: 00:00:24 / 00:00:28 (88%) Cache: 3.2s/119KB\n",
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"A: 00:00:25 / 00:00:28 (88%) Cache: 3.0s/114KB\n",
"A: 00:00:25 / 00:00:28 (88%) Cache: 3.0s/111KB\n",
"A: 00:00:25 / 00:00:28 (88%) Cache: 2.9s/110KB\n",
"A: 00:00:25 / 00:00:28 (89%) Cache: 2.9s/107KB\n",
"A: 00:00:25 / 00:00:28 (89%) Cache: 2.8s/104KB\n",
"A: 00:00:25 / 00:00:28 (89%) Cache: 2.7s/101KB\n",
"A: 00:00:25 / 00:00:28 (89%) Cache: 2.7s/100KB\n",
"[ffmpeg/audio] mp3float: Header missing\n",
"A: 00:00:25 / 00:00:28 (89%) Cache: 2.7s/100KB\n",
"Error decoding audio.\n",
"A: 00:00:25 / 00:00:28 (89%) Cache: 2.7s/100KB\n",
"A: 00:00:25 / 00:00:28 (90%) Cache: 2.6s/96KB\n",
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"A: 00:00:25 / 00:00:28 (90%) Cache: 2.4s/92KB\n",
"A: 00:00:25 / 00:00:28 (90%) Cache: 2.4s/89KB\n",
"A: 00:00:25 / 00:00:28 (91%) Cache: 2.3s/86KB\n",
"A: 00:00:25 / 00:00:28 (91%) Cache: 2.3s/84KB\n",
"A: 00:00:25 / 00:00:28 (91%) Cache: 2.2s/82KB\n",
"A: 00:00:26 / 00:00:28 (91%) Cache: 2.1s/79KB\n",
"[ffmpeg/audio] mp3float: Header missing\n",
"A: 00:00:26 / 00:00:28 (91%) Cache: 2.1s/79KB\n",
"Error decoding audio.\n",
"A: 00:00:26 / 00:00:28 (91%) Cache: 2.1s/79KB\n",
"A: 00:00:26 / 00:00:28 (91%) Cache: 2.0s/76KB\n",
"A: 00:00:26 / 00:00:28 (92%) Cache: 2.0s/74KB\n",
"A: 00:00:26 / 00:00:28 (92%) Cache: 1.9s/71KB\n",
"A: 00:00:26 / 00:00:28 (92%) Cache: 1.8s/69KB\n",
"A: 00:00:26 / 00:00:28 (92%) Cache: 1.8s/66KB\n",
"A: 00:00:26 / 00:00:28 (93%) Cache: 1.7s/65KB\n",
"A: 00:00:26 / 00:00:28 (93%) Cache: 1.7s/62KB\n",
"A: 00:00:26 / 00:00:28 (93%) Cache: 1.6s/59KB\n",
"[ffmpeg/audio] mp3float: Header missing\n",
"A: 00:00:26 / 00:00:28 (93%) Cache: 1.6s/59KB\n",
"Error decoding audio.\n",
"A: 00:00:26 / 00:00:28 (93%) Cache: 1.6s/59KB\n",
"A: 00:00:26 / 00:00:28 (93%) Cache: 1.5s/56KB\n",
"A: 00:00:26 / 00:00:28 (94%) Cache: 1.4s/54KB\n",
"A: 00:00:26 / 00:00:28 (94%) Cache: 1.4s/51KB\n",
"A: 00:00:26 / 00:00:28 (94%) Cache: 1.3s/48KB\n",
"A: 00:00:26 / 00:00:28 (94%) Cache: 1.2s/47KB\n",
"A: 00:00:26 / 00:00:28 (94%) Cache: 1.2s/44KB\n",
"A: 00:00:27 / 00:00:28 (95%) Cache: 1.1s/41KB\n",
"A: 00:00:27 / 00:00:28 (95%) Cache: 1.1s/39KB\n",
"A: 00:00:27 / 00:00:28 (95%) Cache: 1.0s/37KB\n",
"A: 00:00:27 / 00:00:28 (95%) Cache: 0.9s/34KB\n",
"A: 00:00:27 / 00:00:28 (96%) Cache: 0.9s/32KB\n",
"A: 00:00:27 / 00:00:28 (96%) Cache: 0.8s/29KB\n",
"A: 00:00:27 / 00:00:28 (96%) Cache: 0.7s/27KB\n",
"A: 00:00:27 / 00:00:28 (96%) Cache: 0.7s/25KB\n",
"A: 00:00:27 / 00:00:28 (97%) Cache: 0.6s/22KB\n",
"A: 00:00:27 / 00:00:28 (97%) Cache: 0.5s/19KB\n",
"A: 00:00:27 / 00:00:28 (97%) Cache: 0.5s/18KB\n",
"A: 00:00:27 / 00:00:28 (97%) Cache: 0.4s/16KB\n",
"A: 00:00:27 / 00:00:28 (97%) Cache: 0.4s/13KB\n",
"A: 00:00:27 / 00:00:28 (98%) Cache: 0.3s/10KB\n",
"A: 00:00:27 / 00:00:28 (98%) Cache: 0.2s/8KB\n",
"A: 00:00:27 / 00:00:28 (98%) Cache: 0.1s/5KB\n",
"A: 00:00:28 / 00:00:28 (98%) Cache: 0.1s/3KB\n",
"A: 00:00:28 / 00:00:28 (99%) Cache: 0.0s/0KB\n",
"Exiting... (End of file)\n"
]
},
{
"data": {
"text/plain": [
"CompletedProcess(args='curl -X POST \"http://localhost:8000/v1/audio/speech\" -H \"Content-Type: application/json\" -d \\'{\"model\": \"tts-1\", \"input\": \"以下是一些中英文对照的话语。 1. 早上好！希望你有美好的一天。Good morning! Wish you a wonderful day. 2. 你好呀，最近怎么样？Hello there, how have you been recently? 3. 别放弃，你能做到的！Dont give up, you can do it! 4. 继续努力，你的付出会有回报的。Keep up the good work, your efforts will pay off.\", \"voice\": \"echo\", \"response_format\": \"mp3\", \"stream\": true}\\' -s | mpv --no-video -', returncode=0)"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import subprocess\n",
"\n",
"# Use pipeline to implement streaming playback, MP3 format\n",
"cmd = (\n",
" 'curl -X POST \"http://localhost:8000/v1/audio/speech\" '\n",
" '-H \"Content-Type: application/json\" '\n",
" '-d \\'{\"model\": \"tts-1\", \"input\": \"以下是一些中英文对照的话语。 1. 早上好！希望你有美好的一天。Good morning! Wish you a wonderful day. 2. 你好呀，最近怎么样？Hello there, how have you been recently? 3. 别放弃，你能做到的！Dont give up, you can do it! 4. 继续努力，你的付出会有回报的。Keep up the good work, your efforts will pay off.\", \"voice\": \"echo\", \"response_format\": \"mp3\", \"stream\": true}\\' '\n",
" \"-s | mpv --no-video -\"\n",
")\n",
"subprocess.run(cmd, shell=True, check=True)"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[file] Reading from stdin...\n",
"● Audio --aid=1 (vorbis 2ch 48000 Hz 112 kbps)\n",
"[lavf] Linearizing discontinuity: 0.000000 -> 0.486667\n",
"[lavf] Linearizing discontinuity: 0.486667 -> 0.973333\n",
"[lavf] Linearizing discontinuity: 0.973333 -> 1.457333\n",
"[lavf] Linearizing discontinuity: 1.457333 -> 1.944000\n",
"[lavf] Linearizing discontinuity: 1.944000 -> 2.441333\n",
"[lavf] Linearizing discontinuity: 2.441333 -> 2.922667\n",
"[lavf] Linearizing discontinuity: 2.922667 -> 3.409333\n",
"AO: [pipewire] 48000Hz stereo 2ch floatp\n",
"A: 00:00:00 / 00:00:03 (0%) Cache: 3.2s/175KB\n",
"A: 00:00:00 / 00:00:03 (0%) Cache: 3.1s/174KB\n",
"A: 00:00:00 / 00:00:03 (0%) Cache: 3.1s/172KB\n",
"A: 00:00:00 / 00:00:03 (0%) Cache: 3.0s/171KB\n",
"A: 00:00:00 / 00:00:03 (1%) Cache: 2.9s/168KB\n",
"A: 00:00:00 / 00:00:03 (2%) Cache: 2.9s/160KB\n",
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"A: 00:00:00 / 00:00:03 (23%) Cache: 2.2s/127KB\n",
"A: 00:00:00 / 00:00:03 (24%) Cache: 2.2s/125KB\n",
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"A: 00:00:01 / 00:00:03 (41%) Cache: 1.6s/96KB\n",
"[lavf] Linearizing discontinuity: 3.409333 -> 3.910667\n",
"A: 00:00:01 / 00:00:03 (41%) Cache: 1.6s/96KB\n",
"[lavf] Linearizing discontinuity: 3.910667 -> 4.397333\n",
"A: 00:00:01 / 00:00:03 (41%) Cache: 1.6s/96KB\n",
"[lavf] Linearizing discontinuity: 4.397333 -> 4.898667\n",
"A: 00:00:01 / 00:00:03 (41%) Cache: 1.6s/96KB\n",
"[lavf] Linearizing discontinuity: 4.898667 -> 5.396000\n",
"A: 00:00:01 / 00:00:03 (41%) Cache: 1.6s/96KB\n",
"[lavf] Linearizing discontinuity: 5.396000 -> 5.890667\n",
"A: 00:00:01 / 00:00:03 (41%) Cache: 1.6s/96KB\n",
"[lavf] Linearizing discontinuity: 5.890667 -> 6.369333\n",
"A: 00:00:01 / 00:00:03 (41%) Cache: 1.6s/96KB\n",
"[lavf] Linearizing discontinuity: 6.369333 -> 6.870667\n",
"A: 00:00:01 / 00:00:03 (41%) Cache: 1.6s/96KB\n",
"[lavf] Linearizing discontinuity: 6.870667 -> 7.362667\n",
"A: 00:00:01 / 00:00:03 (41%) Cache: 1.6s/96KB\n",
"A: 00:00:01 / 00:00:07 (20%) Cache: 5.5s/330KB\n",
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"A: 00:00:02 / 00:00:07 (39%) Cache: 4.1s/247KB\n",
"A: 00:00:02 / 00:00:07 (40%) Cache: 4.1s/245KB\n",
"A: 00:00:02 / 00:00:07 (40%) Cache: 4.0s/242KB\n",
"A: 00:00:03 / 00:00:07 (41%) Cache: 4.0s/241KB\n",
"A: 00:00:03 / 00:00:07 (42%) Cache: 3.9s/232KB\n",
"A: 00:00:03 / 00:00:07 (43%) Cache: 3.9s/230KB\n",
"A: 00:00:03 / 00:00:07 (43%) Cache: 3.8s/228KB\n",
"A: 00:00:03 / 00:00:07 (44%) Cache: 3.7s/224KB\n",
"[lavf] Linearizing discontinuity: 7.362667 -> 7.854667\n",
"A: 00:00:03 / 00:00:07 (44%) Cache: 3.7s/224KB\n",
"[lavf] Linearizing discontinuity: 7.854667 -> 8.349333\n",
"A: 00:00:03 / 00:00:07 (44%) Cache: 3.7s/224KB\n",
"[lavf] Linearizing discontinuity: 8.349333 -> 8.828000\n",
"A: 00:00:03 / 00:00:07 (44%) Cache: 3.7s/224KB\n",
"[lavf] Linearizing discontinuity: 8.828000 -> 9.312000\n",
"A: 00:00:03 / 00:00:07 (44%) Cache: 3.7s/224KB\n",
"[lavf] Linearizing discontinuity: 9.312000 -> 9.798667\n",
"A: 00:00:03 / 00:00:07 (44%) Cache: 3.7s/224KB\n",
"[lavf] Linearizing discontinuity: 9.798667 -> 10.280000\n",
"A: 00:00:03 / 00:00:07 (44%) Cache: 3.7s/224KB\n",
"[lavf] Linearizing discontinuity: 10.280000 -> 10.781333\n",
"A: 00:00:03 / 00:00:07 (44%) Cache: 3.7s/224KB\n",
"[lavf] Linearizing discontinuity: 10.781333 -> 11.268000\n",
"A: 00:00:03 / 00:00:07 (44%) Cache: 3.7s/224KB\n",
"A: 00:00:03 / 00:00:11 (29%) Cache: 7.6s/441KB\n",
"A: 00:00:03 / 00:00:11 (30%) Cache: 7.5s/438KB\n",
"A: 00:00:03 / 00:00:11 (30%) Cache: 7.4s/436KB\n",
"A: 00:00:03 / 00:00:11 (31%) Cache: 7.4s/434KB\n",
"A: 00:00:03 / 00:00:11 (31%) Cache: 7.3s/422KB\n",
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"[lavf] Linearizing discontinuity: 11.268000 -> 11.760000\n",
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]
},
{
"data": {
"text/plain": [
"CompletedProcess(args='curl -X POST \"http://localhost:8000/v1/audio/speech\" -H \"Content-Type: application/json\" -d \\'{\"model\": \"tts-1\", \"input\": \"以下是一些中英文对照的话语。 1. 早上好！希望你有美好的一天。Good morning! Wish you a wonderful day. 2. 你好呀，最近怎么样？Hello there, how have you been recently? 3. 别放弃，你能做到的！Dont give up, you can do it! 4. 继续努力，你的付出会有回报的。Keep up the good work, your efforts will pay off.\", \"voice\": \"echo\", \"response_format\": \"ogg\", \"stream\": true}\\' -s | mpv --no-video -', returncode=0)"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import subprocess\n",
"\n",
"# Use pipeline to implement streaming playback, OGG format\n",
"cmd = (\n",
" 'curl -X POST \"http://localhost:8000/v1/audio/speech\" '\n",
" '-H \"Content-Type: application/json\" '\n",
" '-d \\'{\"model\": \"tts-1\", \"input\": \"以下是一些中英文对照的话语。 1. 早上好！希望你有美好的一天。Good morning! Wish you a wonderful day. 2. 你好呀，最近怎么样？Hello there, how have you been recently? 3. 别放弃，你能做到的！Dont give up, you can do it! 4. 继续努力，你的付出会有回报的。Keep up the good work, your efforts will pay off.\", \"voice\": \"echo\", \"response_format\": \"ogg\", \"stream\": true}\\' '\n",
" \"-s | mpv --no-video -\"\n",
")\n",
"subprocess.run(cmd, shell=True, check=True)"
]
}
],
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"name": "python",
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