freddyaboulton commited on
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Upload folder using huggingface_hub

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Files changed (3) hide show
  1. requirements.txt +2 -2
  2. run.ipynb +1 -1
  3. run.py +1 -1
requirements.txt CHANGED
@@ -1,2 +1,2 @@
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- gradio-client @ git+https://github.com/gradio-app/gradio@45c7d6cc69003d7edf4b610f43efa3f37381d51c#subdirectory=client/python
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- https://gradio-pypi-previews.s3.amazonaws.com/45c7d6cc69003d7edf4b610f43efa3f37381d51c/gradio-5.49.1-py3-none-any.whl
 
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+ gradio-client @ git+https://github.com/gradio-app/gradio@6b5df4a691cb69b9f2cb1f179499a058389b2b3c#subdirectory=client/python
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+ https://gradio-pypi-previews.s3.amazonaws.com/6b5df4a691cb69b9f2cb1f179499a058389b2b3c/gradio-5.49.1-py3-none-any.whl
run.ipynb CHANGED
@@ -1 +1 @@
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- {"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: blocks_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", "import os\n", "\n", "def combine(a, b):\n", " return a + \" \" + b\n", "\n", "def mirror(x):\n", " return x\n", "\n", "with gr.Blocks() as demo:\n", "\n", " txt = gr.Textbox(label=\"Input\", lines=2)\n", " txt_2 = gr.Textbox(label=\"Input 2\")\n", " txt_3 = gr.Textbox(value=\"\", label=\"Output\")\n", " btn = gr.Button(value=\"Submit\")\n", " btn.click(combine, inputs=[txt, txt_2], outputs=[txt_3])\n", "\n", " with gr.Row():\n", " im = gr.Image()\n", " im_2 = gr.Image()\n", "\n", " btn = gr.Button(value=\"Mirror Image\")\n", " btn.click(mirror, inputs=[im], outputs=[im_2])\n", "\n", " gr.Markdown(\"## Text Examples\")\n", " gr.Examples(\n", " [[\"hi\", \"Adam\"], [\"hello\", \"Eve\"]],\n", " [txt, txt_2],\n", " txt_3,\n", " combine,\n", " cache_examples=True,\n", " )\n", " gr.Markdown(\"## Image Examples\")\n", " gr.Examples(\n", " examples=[os.path.join(os.path.abspath(''), \"lion.jpg\")],\n", " inputs=im,\n", " outputs=im_2,\n", " fn=mirror,\n", " cache_examples=True,\n", " )\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
 
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+ {"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: blocks_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", "import os\n", "\n", "def combine(a, b):\n", " return a + \" \" + b\n", "\n", "def mirror(x):\n", " return x\n", "\n", "with gr.Blocks() as demo:\n", "\n", " txt = gr.Textbox(label=\"Input\", lines=2)\n", " txt_2 = gr.Textbox(label=\"Input 2\")\n", " txt_3 = gr.Textbox(value=\"\", label=\"Output\")\n", " btn = gr.Button(value=\"Submit\")\n", " btn.click(combine, inputs=[txt, txt_2], outputs=[txt_3])\n", "\n", " with gr.Row():\n", " im = gr.Image()\n", " im_2 = gr.Image()\n", "\n", " btn = gr.Button(value=\"Mirror Image\")\n", " btn.click(mirror, inputs=[im], outputs=[im_2])\n", "\n", " gr.Markdown(\"## Text Examples\")\n", " gr.Examples(\n", " [[\"hi\", \"Adam\"], [\"hello\", \"Eve\"]],\n", " [txt, txt_2],\n", " txt_3,\n", " combine,\n", " cache_examples=True,\n", " )\n", " gr.Markdown(\"## Image Examples\")\n", " gr.Examples(\n", " examples=[gr.get_image(\"lion.jpg\")],\n", " inputs=im,\n", " outputs=im_2,\n", " fn=mirror,\n", " cache_examples=True,\n", " )\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
run.py CHANGED
@@ -32,7 +32,7 @@ with gr.Blocks() as demo:
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  )
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  gr.Markdown("## Image Examples")
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  gr.Examples(
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- examples=[os.path.join(os.path.dirname(__file__), "lion.jpg")],
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  inputs=im,
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  outputs=im_2,
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  fn=mirror,
 
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  )
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  gr.Markdown("## Image Examples")
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  gr.Examples(
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+ examples=[gr.get_image("lion.jpg")],
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  inputs=im,
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  outputs=im_2,
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  fn=mirror,