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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: image_remote_url"]}, {"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", "\n", "\n", "def fn(im):\n", "    return im, \"https://picsum.photos/400/300\"\n", "\n", "\n", "demo = gr.Interface(\n", "    fn=fn,\n", "    inputs=gr.Image(\"https://picsum.photos/300/200\", label=\"InputImage\"),\n", "    outputs=[gr.Image(label=\"Loopback\"), gr.Image(label=\"RemoteImage\")],\n", "    examples=[\n", "        [\"https://picsum.photos/640/480\"]\n", "    ]\n", ")\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: image_remote_url"]}, {"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", "\n", "def fn(im):\n", "    return im, \"https://picsum.photos/400/300\"\n", "\n", "demo = gr.Interface(\n", "    fn=fn,\n", "    inputs=gr.Image(\"https://picsum.photos/300/200\", label=\"InputImage\"),\n", "    outputs=[gr.Image(label=\"Loopback\"), gr.Image(label=\"RemoteImage\")],\n", "    examples=[\n", "        [\"https://picsum.photos/640/480\"]\n", "    ]\n", ")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -1,10 +1,8 @@
 import gradio as gr
 
-
 def fn(im):
     return im, "https://picsum.photos/400/300"
 
-
 demo = gr.Interface(
     fn=fn,
     inputs=gr.Image("https://picsum.photos/300/200", label="InputImage"),
@@ -14,6 +12,5 @@ demo = gr.Interface(
     ]
 )
 
-
 if __name__ == "__main__":
     demo.launch()