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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: interface_with_additional_inputs"]}, {"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 generate_fake_image(prompt, seed, initial_image=None):\n", "    return f\"Used seed: {seed}\", \"https://dummyimage.com/300/09f.png\"\n", "\n", "\n", "demo = gr.Interface(\n", "    generate_fake_image,\n", "    inputs=[\"textbox\"],\n", "    outputs=[\"textbox\", \"image\"],\n", "    additional_inputs=[\n", "        gr.Slider(0, 1000),\n", "        \"image\"\n", "    ]\n", ")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n", "\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: interface_with_additional_inputs"]}, {"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 generate_fake_image(prompt, seed, initial_image=None):\n", "    return f\"Used seed: {seed}\", \"https://dummyimage.com/300/09f.png\"\n", "\n", "demo = gr.Interface(\n", "    generate_fake_image,\n", "    inputs=[\"textbox\"],\n", "    outputs=[\"textbox\", \"image\"],\n", "    additional_inputs=[\n", "        gr.Slider(0, 1000),\n", "        \"image\"\n", "    ]\n", ")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n", "\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -3,7 +3,6 @@ import gradio as gr
 def generate_fake_image(prompt, seed, initial_image=None):
     return f"Used seed: {seed}", "https://dummyimage.com/300/09f.png"
 
-
 demo = gr.Interface(
     generate_fake_image,
     inputs=["textbox"],