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README.md

@@ -5,7 +5,7 @@ emoji: 🔥
 colorFrom: indigo
 colorTo: indigo
 sdk: gradio
-sdk_version: 5.49.1
+sdk_version: 6.0.0
 app_file: run.py
 pinned: false
 hf_oauth: true

requirements.txt

@@ -1,3 +1,3 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@e05eb8df38a4ca20993e94ca4e209cf8110bb677#subdirectory=client/python
-https://gradio-pypi-previews.s3.amazonaws.com/e05eb8df38a4ca20993e94ca4e209cf8110bb677/gradio-5.49.1-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@d007e6cf617baba5c62e49ec2b7ce278aa863a79#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/d007e6cf617baba5c62e49ec2b7ce278aa863a79/gradio-6.0.0-py3-none-any.whl
 numpy

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: stream_audio"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio numpy "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import numpy as np\n", "import time\n", "\n", "def add_to_stream(audio, instream):\n", "    time.sleep(1)\n", "    if audio is None:\n", "        return gr.Audio(), instream\n", "    if instream is None:\n", "        ret = audio\n", "    else:\n", "        ret = (audio[0], np.concatenate((instream[1], audio[1])))\n", "    return ret, ret\n", "\n", "with gr.Blocks() as demo:\n", "    inp = gr.Audio(sources=[\"microphone\"])\n", "    out = gr.Audio()\n", "    stream = gr.State()\n", "    clear = gr.Button(\"Clear\")\n", "\n", "    inp.stream(add_to_stream, [inp, stream], [out, stream])\n", "    clear.click(lambda: [None, None, None], None, [inp, out, stream])\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: stream_audio"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio numpy "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import numpy as np\n", "\n", "def add_to_stream(audio, instream):\n", "    if audio is None:\n", "        return gr.Audio(), instream\n", "    if instream is None:\n", "        ret = audio\n", "    else:\n", "        ret = (audio[0], np.concatenate((instream[1], audio[1])))\n", "    return ret, ret\n", "\n", "with gr.Blocks() as demo:\n", "    inp = gr.Audio(sources=[\"microphone\"])\n", "    out = gr.Audio()\n", "    stream = gr.State()\n", "    clear = gr.Button(\"Clear\")\n", "\n", "    inp.stream(add_to_stream, [inp, stream], [out, stream])\n", "    clear.click(lambda: [None, None, None], None, [inp, out, stream])\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -1,9 +1,7 @@
 import gradio as gr
 import numpy as np
-import time
 
 def add_to_stream(audio, instream):
-    time.sleep(1)
     if audio is None:
         return gr.Audio(), instream
     if instream is None: