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requirements.txt

@@ -1,2 +1,2 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@34ee825ae7111488655e68f983e45d55673455a2#subdirectory=client/python
-https://gradio-pypi-previews.s3.amazonaws.com/34ee825ae7111488655e68f983e45d55673455a2/gradio-6.5.1-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@b10e17cafbe9ff385e44bcc63a85de0d893e2662#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/b10e17cafbe9ff385e44bcc63a85de0d893e2662/gradio-6.5.1-py3-none-any.whl

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: video_component"]}, {"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", "# get_video() returns the file path to sample videos included with Gradio\n", "from gradio.media import get_video, MEDIA_PATHS\n", "\n", "demo = gr.Interface(\n", "    fn=lambda x: x,\n", "    inputs=gr.Video(),\n", "    outputs=gr.Video(),\n", "    examples=[\n", "        [get_video(\"world.mp4\")],\n", "        [get_video(\"a.mp4\")],\n", "        [get_video(\"b.mp4\")],\n", "    ],\n", "    api_name=\"predict\",\n", "    cache_examples=True\n", ")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch(allowed_paths=MEDIA_PATHS)\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: video_component"]}, {"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", "# get_video() returns the file path to sample videos included with Gradio\n", "from gradio.media import get_video, MEDIA_PATHS\n", "\n", "demo = gr.Interface(\n", "    fn=lambda x: x,\n", "    inputs=gr.Video(),\n", "    outputs=gr.Video(),\n", "    examples=[\n", "        [get_video(\"world.mp4\")],\n", "        [get_video(\"a.mp4\")],\n", "        [get_video(\"b.mp4\")],\n", "    ],\n", "    api_name=\"predict\",\n", "    cache_examples=True\n", ")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch(allowed_paths=[str(p) for p in MEDIA_PATHS])\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -16,4 +16,4 @@ demo = gr.Interface(
 )
 
 if __name__ == "__main__":
-    demo.launch(allowed_paths=MEDIA_PATHS)
+    demo.launch(allowed_paths=[str(p) for p in MEDIA_PATHS])