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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

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: audio_debugger"]}, {"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", "import subprocess\n", "import os\n", "\n", "# get_audio returns the path to the audio file\n", "audio_file = gr.get_audio(\"cantina.wav\")\n", "\n", "with gr.Blocks() as demo:\n", "    with gr.Tab(\"Audio\"):\n", "        gr.Audio(audio_file)\n", "    with gr.Tab(\"Interface\"):\n", "        gr.Interface(\n", "            lambda x: x, \"audio\", \"audio\", examples=[audio_file], cache_examples=True\n", "        )\n", "    with gr.Tab(\"Streaming\"):\n", "        gr.Interface(\n", "            lambda x: x,\n", "            gr.Audio(streaming=True),\n", "            \"audio\",\n", "            examples=[audio_file],\n", "            cache_examples=True,\n", "        )\n", "    with gr.Tab(\"console\"):\n", "        ip = gr.Textbox(label=\"User IP Address\")\n", "        gr.Interface(\n", "            lambda cmd: subprocess.run([cmd], capture_output=True, shell=True, check=False)\n", "            .stdout.decode(\"utf-8\")\n", "            .strip(),\n", "            \"text\",\n", "            \"text\",\n", "        )\n", "\n", "    def get_ip(request: gr.Request):\n", "        return request.client.host\n", "\n", "    demo.load(get_ip, None, ip)\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: audio_debugger"]}, {"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", "import subprocess\n", "from gradio.media import get_audio, MEDIA_PATHS\n", "\n", "# get_audio returns the path to the audio file\n", "audio_file = get_audio(\"cantina.wav\")\n", "\n", "with gr.Blocks() as demo:\n", "    with gr.Tab(\"Audio\"):\n", "        gr.Audio(audio_file, buttons=[\"download\"])\n", "    with gr.Tab(\"Interface\"):\n", "        gr.Interface(\n", "            lambda x: x,\n", "            gr.Audio(),\n", "            gr.Audio(),\n", "            examples=[audio_file],\n", "            cache_examples=True,\n", "            api_name=\"predict\",\n", "        )\n", "    with gr.Tab(\"Streaming\"):\n", "        gr.Interface(\n", "            lambda x: x,\n", "            gr.Audio(streaming=True),\n", "            \"audio\",\n", "            examples=[audio_file],\n", "            cache_examples=True,\n", "            api_name=\"predict\",\n", "        )\n", "    with gr.Tab(\"console\"):\n", "        ip = gr.Textbox(label=\"User IP Address\")\n", "        gr.Interface(\n", "            lambda cmd: subprocess.run(\n", "                [cmd], capture_output=True, shell=True, check=False\n", "            )\n", "            .stdout.decode(\"utf-8\")\n", "            .strip(),\n", "            \"text\",\n", "            \"text\",\n", "            api_name=\"predict\",\n", "        )\n", "\n", "    def get_ip(request: gr.Request):\n", "        return request.client.host\n", "\n", "    demo.load(get_ip, None, ip)\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch(allowed_paths=MEDIA_PATHS)\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -1,16 +1,21 @@
 import gradio as gr
 import subprocess
-import os
+from gradio.media import get_audio, MEDIA_PATHS
 
 # get_audio returns the path to the audio file
-audio_file = gr.get_audio("cantina.wav")
+audio_file = get_audio("cantina.wav")
 
 with gr.Blocks() as demo:
     with gr.Tab("Audio"):
-        gr.Audio(audio_file)
+        gr.Audio(audio_file, buttons=["download"])
     with gr.Tab("Interface"):
         gr.Interface(
-            lambda x: x, "audio", "audio", examples=[audio_file], cache_examples=True
+            lambda x: x,
+            gr.Audio(),
+            gr.Audio(),
+            examples=[audio_file],
+            cache_examples=True,
+            api_name="predict",
         )
     with gr.Tab("Streaming"):
         gr.Interface(
@@ -19,15 +24,19 @@ with gr.Blocks() as demo:
             "audio",
             examples=[audio_file],
             cache_examples=True,
+            api_name="predict",
         )
     with gr.Tab("console"):
         ip = gr.Textbox(label="User IP Address")
         gr.Interface(
-            lambda cmd: subprocess.run([cmd], capture_output=True, shell=True, check=False)
+            lambda cmd: subprocess.run(
+                [cmd], capture_output=True, shell=True, check=False
+            )
             .stdout.decode("utf-8")
             .strip(),
             "text",
             "text",
+            api_name="predict",
         )
 
     def get_ip(request: gr.Request):
@@ -36,4 +45,4 @@ with gr.Blocks() as demo:
     demo.load(get_ip, None, ip)
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(allowed_paths=MEDIA_PATHS)