Spaces:
Running
Running
Upload folder using huggingface_hub
Browse files
README.md
CHANGED
|
@@ -5,7 +5,7 @@ emoji: 🔥
|
|
| 5 |
colorFrom: indigo
|
| 6 |
colorTo: indigo
|
| 7 |
sdk: gradio
|
| 8 |
-
sdk_version:
|
| 9 |
app_file: run.py
|
| 10 |
pinned: false
|
| 11 |
hf_oauth: true
|
|
|
|
| 5 |
colorFrom: indigo
|
| 6 |
colorTo: indigo
|
| 7 |
sdk: gradio
|
| 8 |
+
sdk_version: 6.0.0
|
| 9 |
app_file: run.py
|
| 10 |
pinned: false
|
| 11 |
hf_oauth: true
|
run.ipynb
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: stream_audio_out"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "from pydub import AudioSegment\n", "from time import sleep\n", "import os\n", "import tempfile\n", "from pathlib import Path\n", "\n", "with gr.Blocks() as demo:\n", " input_audio = gr.Audio(label=\"Input Audio\", type=\"filepath\", format=\"mp3\")\n", " with gr.Row():\n", " with gr.Column():\n", " stream_as_file_btn = gr.Button(\"Stream as File\")\n", " format = gr.Radio([\"wav\", \"mp3\"], value=\"wav\", label=\"Format\")\n", " stream_as_file_output = gr.Audio(streaming=True, elem_id=\"stream_as_file_output\", autoplay=True, visible=False)\n", "\n", " def stream_file(audio_file, format):\n", " audio = AudioSegment.from_file(audio_file)\n", " i = 0\n", " chunk_size = 1000\n", " while chunk_size * i < len(audio):\n", " chunk = audio[chunk_size * i : chunk_size * (i + 1)]\n", " i += 1\n", " if chunk:\n", " file = Path(tempfile.gettempdir()) / \"stream_audio_demo\" / f\"{i}.{format}\"\n", " file.parent.mkdir(parents=True, exist_ok=True)\n", " chunk.export(str(file), format=format)\n", " yield file\n", " sleep(0.5)\n", "\n", " stream_as_file_btn.click(\n", " stream_file, [input_audio, format], stream_as_file_output\n", " )\n", "\n", " gr.Examples(\n", " [[
|
|
|
|
| 1 |
+
{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: stream_audio_out"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "from pydub import AudioSegment\n", "from time import sleep\n", "import os\n", "import tempfile\n", "from pathlib import Path\n", "\n", "with gr.Blocks() as demo:\n", " input_audio = gr.Audio(label=\"Input Audio\", type=\"filepath\", format=\"mp3\")\n", " with gr.Row():\n", " with gr.Column():\n", " stream_as_file_btn = gr.Button(\"Stream as File\")\n", " format = gr.Radio([\"wav\", \"mp3\"], value=\"wav\", label=\"Format\")\n", " stream_as_file_output = gr.Audio(streaming=True, elem_id=\"stream_as_file_output\", autoplay=True, visible=False)\n", "\n", " def stream_file(audio_file, format):\n", " audio = AudioSegment.from_file(audio_file)\n", " i = 0\n", " chunk_size = 1000\n", " while chunk_size * i < len(audio):\n", " chunk = audio[chunk_size * i : chunk_size * (i + 1)]\n", " i += 1\n", " if chunk:\n", " file = Path(tempfile.gettempdir()) / \"stream_audio_demo\" / f\"{i}.{format}\"\n", " file.parent.mkdir(parents=True, exist_ok=True)\n", " chunk.export(str(file), format=format)\n", " yield file\n", " sleep(0.5)\n", "\n", " stream_as_file_btn.click(\n", " stream_file, [input_audio, format], stream_as_file_output\n", " )\n", "\n", " gr.Examples(\n", " [[gr.get_audio(\"cantina.wav\"), \"wav\"],\n", " [gr.get_audio(\"cantina.wav\"), \"mp3\"]],\n", " [input_audio, format],\n", " fn=stream_file,\n", " outputs=stream_as_file_output,\n", " cache_examples=False,\n", " )\n", "\n", " with gr.Column():\n", " stream_as_bytes_btn = gr.Button(\"Stream as Bytes\")\n", " stream_as_bytes_output = gr.Audio(streaming=True, elem_id=\"stream_as_bytes_output\", autoplay=True)\n", "\n", " def stream_bytes(audio_file):\n", " chunk_size = 20_000\n", " with open(audio_file, \"rb\") as f:\n", " while True:\n", " chunk = f.read(chunk_size)\n", " if chunk:\n", " yield chunk\n", " sleep(1)\n", " else:\n", " break\n", " stream_as_bytes_btn.click(stream_bytes, input_audio, stream_as_bytes_output)\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
|
run.py
CHANGED
|
@@ -32,8 +32,8 @@ with gr.Blocks() as demo:
|
|
| 32 |
)
|
| 33 |
|
| 34 |
gr.Examples(
|
| 35 |
-
[[
|
| 36 |
-
[
|
| 37 |
[input_audio, format],
|
| 38 |
fn=stream_file,
|
| 39 |
outputs=stream_as_file_output,
|
|
|
|
| 32 |
)
|
| 33 |
|
| 34 |
gr.Examples(
|
| 35 |
+
[[gr.get_audio("cantina.wav"), "wav"],
|
| 36 |
+
[gr.get_audio("cantina.wav"), "mp3"]],
|
| 37 |
[input_audio, format],
|
| 38 |
fn=stream_file,
|
| 39 |
outputs=stream_as_file_output,
|