Upload folder using huggingface_hub

requirements.txt

@@ -1,2 +1,2 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@de997e67c9a7feb9e2eccebf92969366dbd67eba#subdirectory=client/python
-https://gradio-builds.s3.amazonaws.com/de997e67c9a7feb9e2eccebf92969366dbd67eba/gradio-4.39.0-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@9b42ba8f1006c05d60a62450d3036ce0d6784f86#subdirectory=client/python
+https://gradio-builds.s3.amazonaws.com/9b42ba8f1006c05d60a62450d3036ce0d6784f86/gradio-4.39.0-py3-none-any.whl

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: reverse_audio"]}, {"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": ["# Downloading files from the demo repo\n", "import os\n", "os.mkdir('audio')\n", "!wget -q -O audio/cantina.wav https://github.com/gradio-app/gradio/raw/main/demo/reverse_audio/audio/cantina.wav\n", "!wget -q -O audio/recording1.wav https://github.com/gradio-app/gradio/raw/main/demo/reverse_audio/audio/recording1.wav"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import os\n", "\n", "import numpy as np\n", "\n", "import gradio as gr\n", "\n", "\n", "def reverse_audio(audio):\n", "    sr, data = audio\n", "    return (sr, np.flipud(data))\n", "\n", "\n", "input_audio = gr.Audio(\n", "    sources=[\"microphone\"],\n", "    waveform_options=gr.WaveformOptions(\n", "        waveform_color=\"#01C6FF\",\n", "        waveform_progress_color=\"#0066B4\",\n", "        skip_length=2,\n", "        show_controls=False,\n", "    ),\n", ")\n", "demo = gr.Interface(\n", "    fn=reverse_audio,\n", "    inputs=input_audio,\n", "    outputs=\"audio\"\n", ")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: reverse_audio"]}, {"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": ["# Downloading files from the demo repo\n", "import os\n", "os.mkdir('audio')\n", "!wget -q -O audio/cantina.wav https://github.com/gradio-app/gradio/raw/main/demo/reverse_audio/audio/cantina.wav\n", "!wget -q -O audio/recording1.wav https://github.com/gradio-app/gradio/raw/main/demo/reverse_audio/audio/recording1.wav"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["\n", "import numpy as np\n", "\n", "import gradio as gr\n", "\n", "def reverse_audio(audio):\n", "    sr, data = audio\n", "    return (sr, np.flipud(data))\n", "\n", "input_audio = gr.Audio(\n", "    sources=[\"microphone\"],\n", "    waveform_options=gr.WaveformOptions(\n", "        waveform_color=\"#01C6FF\",\n", "        waveform_progress_color=\"#0066B4\",\n", "        skip_length=2,\n", "        show_controls=False,\n", "    ),\n", ")\n", "demo = gr.Interface(\n", "    fn=reverse_audio,\n", "    inputs=input_audio,\n", "    outputs=\"audio\"\n", ")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -1,15 +1,12 @@
-import os
 
 import numpy as np
 
 import gradio as gr
 
-
 def reverse_audio(audio):
     sr, data = audio
     return (sr, np.flipud(data))
 
-
 input_audio = gr.Audio(
     sources=["microphone"],
     waveform_options=gr.WaveformOptions(