freddyaboulton HF Staff commited on
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Upload folder using huggingface_hub

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Files changed (4) hide show
  1. README.md +1 -1
  2. requirements.txt +2 -2
  3. run.ipynb +1 -1
  4. run.py +1 -0
README.md CHANGED
@@ -5,7 +5,7 @@ emoji: 🔥
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  colorFrom: indigo
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  colorTo: indigo
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  sdk: gradio
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- sdk_version: 5.49.1
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  app_file: run.py
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  pinned: false
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  hf_oauth: true
 
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  colorFrom: indigo
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  colorTo: indigo
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  sdk: gradio
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+ sdk_version: 6.0.0
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  app_file: run.py
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  pinned: false
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  hf_oauth: true
requirements.txt CHANGED
@@ -1,2 +1,2 @@
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- gradio-client @ git+https://github.com/gradio-app/gradio@e05eb8df38a4ca20993e94ca4e209cf8110bb677#subdirectory=client/python
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- https://gradio-pypi-previews.s3.amazonaws.com/e05eb8df38a4ca20993e94ca4e209cf8110bb677/gradio-5.49.1-py3-none-any.whl
 
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+ gradio-client @ git+https://github.com/gradio-app/gradio@d007e6cf617baba5c62e49ec2b7ce278aa863a79#subdirectory=client/python
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+ https://gradio-pypi-previews.s3.amazonaws.com/d007e6cf617baba5c62e49ec2b7ce278aa863a79/gradio-6.0.0-py3-none-any.whl
run.ipynb CHANGED
@@ -1 +1 @@
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- {"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: image_mod"]}, {"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", "from gradio.media import get_image\n", "\n", "def image_mod(image):\n", " return image.rotate(45)\n", "\n", "# get_image() returns file paths to sample media included with Gradio\n", "new_samples = [\n", " [get_image(\"logo.png\")],\n", " [get_image(\"tower.jpg\")],\n", "]\n", "\n", "with gr.Blocks() as demo:\n", " interface = gr.Interface(\n", " image_mod,\n", " gr.Image(type=\"pil\"),\n", " \"image\",\n", " flagging_options=[\"blurry\", \"incorrect\", \"other\"],\n", " examples=[\n", " get_image(\"cheetah1.jpg\"),\n", " get_image(\"lion.jpg\"),\n", " ],\n", " )\n", "\n", " btn = gr.Button(\"Update Examples\")\n", " btn.click(lambda : gr.Dataset(samples=new_samples), None, interface.examples_handler.dataset)\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: image_mod"]}, {"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", "from gradio.media import get_image\n", "\n", "def image_mod(image):\n", " return image.rotate(45)\n", "\n", "# get_image() returns file paths to sample media included with Gradio\n", "new_samples = [\n", " [get_image(\"logo.png\")],\n", " [get_image(\"tower.jpg\")],\n", "]\n", "\n", "with gr.Blocks() as demo:\n", " interface = gr.Interface(\n", " image_mod,\n", " gr.Image(type=\"pil\"),\n", " \"image\",\n", " flagging_options=[\"blurry\", \"incorrect\", \"other\"],\n", " examples=[\n", " get_image(\"cheetah1.jpg\"),\n", " get_image(\"lion.jpg\"),\n", " ],\n", " api_name=\"predict\",\n", " )\n", "\n", " btn = gr.Button(\"Update Examples\")\n", " btn.click(lambda : gr.Dataset(samples=new_samples), None, interface.examples_handler.dataset)\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
run.py CHANGED
@@ -20,6 +20,7 @@ with gr.Blocks() as demo:
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  get_image("cheetah1.jpg"),
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  get_image("lion.jpg"),
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  ],
 
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  )
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  btn = gr.Button("Update Examples")
 
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  get_image("cheetah1.jpg"),
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  get_image("lion.jpg"),
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  ],
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+ api_name="predict",
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  )
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  btn = gr.Button("Update Examples")