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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 -6
requirements.txt CHANGED
@@ -1,2 +1,2 @@
1
- gradio-client @ git+https://github.com/gradio-app/gradio@de997e67c9a7feb9e2eccebf92969366dbd67eba#subdirectory=client/python
2
- https://gradio-builds.s3.amazonaws.com/de997e67c9a7feb9e2eccebf92969366dbd67eba/gradio-4.39.0-py3-none-any.whl
 
1
+ gradio-client @ git+https://github.com/gradio-app/gradio@9b42ba8f1006c05d60a62450d3036ce0d6784f86#subdirectory=client/python
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+ https://gradio-builds.s3.amazonaws.com/9b42ba8f1006c05d60a62450d3036ce0d6784f86/gradio-4.39.0-py3-none-any.whl
run.ipynb CHANGED
@@ -1 +1 @@
1
- {"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: blocks_flipper"]}, {"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 numpy as np\n", "import gradio as gr\n", "\n", "\n", "def flip_text(x):\n", " return x[::-1]\n", "\n", "\n", "def flip_image(x):\n", " return np.fliplr(x)\n", "\n", "\n", "with gr.Blocks() as demo:\n", " gr.Markdown(\"Flip text or image files using this demo.\")\n", " with gr.Tab(\"Flip Text\"):\n", " text_input = gr.Textbox()\n", " text_output = gr.Textbox()\n", " text_button = gr.Button(\"Flip\")\n", " with gr.Tab(\"Flip Image\"):\n", " with gr.Row():\n", " image_input = gr.Image()\n", " image_output = gr.Image()\n", " image_button = gr.Button(\"Flip\")\n", "\n", " with gr.Accordion(\"Open for More!\", open=False):\n", " gr.Markdown(\"Look at me...\")\n", " temp_slider = gr.Slider(\n", " minimum=0.0,\n", " maximum=1.0,\n", " value=0.1,\n", " step=0.1,\n", " interactive=True,\n", " label=\"Slide me\",\n", " )\n", " temp_slider.change(lambda x: x, [temp_slider])\n", "\n", " text_button.click(flip_text, inputs=text_input, outputs=text_output)\n", " image_button.click(flip_image, inputs=image_input, outputs=image_output)\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
 
1
+ {"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: blocks_flipper"]}, {"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 numpy as np\n", "import gradio as gr\n", "\n", "def flip_text(x):\n", " return x[::-1]\n", "\n", "def flip_image(x):\n", " return np.fliplr(x)\n", "\n", "with gr.Blocks() as demo:\n", " gr.Markdown(\"Flip text or image files using this demo.\")\n", " with gr.Tab(\"Flip Text\"):\n", " text_input = gr.Textbox()\n", " text_output = gr.Textbox()\n", " text_button = gr.Button(\"Flip\")\n", " with gr.Tab(\"Flip Image\"):\n", " with gr.Row():\n", " image_input = gr.Image()\n", " image_output = gr.Image()\n", " image_button = gr.Button(\"Flip\")\n", "\n", " with gr.Accordion(\"Open for More!\", open=False):\n", " gr.Markdown(\"Look at me...\")\n", " temp_slider = gr.Slider(\n", " 0, 1,\n", " value=0.1,\n", " step=0.1,\n", " interactive=True,\n", " label=\"Slide me\",\n", " )\n", "\n", " text_button.click(flip_text, inputs=text_input, outputs=text_output)\n", " image_button.click(flip_image, inputs=image_input, outputs=image_output)\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
run.py CHANGED
@@ -1,15 +1,12 @@
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  import numpy as np
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  import gradio as gr
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-
5
  def flip_text(x):
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  return x[::-1]
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-
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  def flip_image(x):
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  return np.fliplr(x)
11
 
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-
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  with gr.Blocks() as demo:
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  gr.Markdown("Flip text or image files using this demo.")
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  with gr.Tab("Flip Text"):
@@ -25,14 +22,12 @@ with gr.Blocks() as demo:
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  with gr.Accordion("Open for More!", open=False):
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  gr.Markdown("Look at me...")
27
  temp_slider = gr.Slider(
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- minimum=0.0,
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- maximum=1.0,
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  value=0.1,
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  step=0.1,
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  interactive=True,
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  label="Slide me",
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  )
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- temp_slider.change(lambda x: x, [temp_slider])
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  text_button.click(flip_text, inputs=text_input, outputs=text_output)
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  image_button.click(flip_image, inputs=image_input, outputs=image_output)
 
1
  import numpy as np
2
  import gradio as gr
3
 
 
4
  def flip_text(x):
5
  return x[::-1]
6
 
 
7
  def flip_image(x):
8
  return np.fliplr(x)
9
 
 
10
  with gr.Blocks() as demo:
11
  gr.Markdown("Flip text or image files using this demo.")
12
  with gr.Tab("Flip Text"):
 
22
  with gr.Accordion("Open for More!", open=False):
23
  gr.Markdown("Look at me...")
24
  temp_slider = gr.Slider(
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+ 0, 1,
 
26
  value=0.1,
27
  step=0.1,
28
  interactive=True,
29
  label="Slide me",
30
  )
 
31
 
32
  text_button.click(flip_text, inputs=text_input, outputs=text_output)
33
  image_button.click(flip_image, inputs=image_input, outputs=image_output)