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README.md

@@ -1,12 +1,12 @@
+
 ---
-title: Imageslider Main
-emoji: ⚡
-colorFrom: purple
-colorTo: yellow
+title: imageslider_main 
+emoji: 🔥
+colorFrom: indigo
+colorTo: indigo
 sdk: gradio
 sdk_version: 5.26.0
-app_file: app.py
+app_file: run.py
 pinned: false
+hf_oauth: true
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

requirements.txt

@@ -0,0 +1,2 @@
+gradio-client @ git+https://github.com/gradio-app/gradio@eff532b913a3c8f06f10a4f9471d3177e3744053#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/eff532b913a3c8f06f10a4f9471d3177e3744053/gradio-5.26.0-py3-none-any.whl

run.ipynb

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+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: imageslider"]}, {"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 PIL import ImageFilter\n", "\n", "\n", "def img_to_slider(im):\n", "    if not im:\n", "        return im\n", "    return (im, im.filter(filter=ImageFilter.GaussianBlur(radius=10)))\n", "\n", "\n", "def slider_to_self(im):\n", "    if not im or not im[0]:\n", "        return im\n", "    return (im[0], im[0].filter(filter=ImageFilter.GaussianBlur(radius=10)))\n", "\n", "\n", "def slider_to_self_two(im):\n", "    return im\n", "\n", "\n", "def position_to_slider(pos):\n", "    return gr.ImageSlider(slider_position=pos)\n", "\n", "\n", "with gr.Blocks() as demo:\n", "    gr.Markdown(\"## img to image slider\")\n", "    with gr.Row():\n", "        img1 = gr.Image(label=\"Blur image\", type=\"pil\")\n", "        img2 = gr.ImageSlider(label=\"Blur image\", type=\"pil\")\n", "    btn = gr.Button(\"Blur image\")\n", "    btn.click(img_to_slider, inputs=img1, outputs=img2)\n", "    gr.Markdown(\"## unified image slider\")\n", "    with gr.Row():\n", "        img3 = gr.ImageSlider(label=\"Blur image\", type=\"pil\")\n", "        img3.upload(slider_to_self, inputs=img3, outputs=img3)\n", "    pos = gr.Slider(label=\"Position\", value=50, minimum=0, maximum=100, step=0.01)\n", "    pos.change(position_to_slider, inputs=pos, outputs=img3, show_progress=\"hidden\")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

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+import gradio as gr
+from PIL import ImageFilter
+
+
+def img_to_slider(im):
+    if not im:
+        return im
+    return (im, im.filter(filter=ImageFilter.GaussianBlur(radius=10)))
+
+
+def slider_to_self(im):
+    if not im or not im[0]:
+        return im
+    return (im[0], im[0].filter(filter=ImageFilter.GaussianBlur(radius=10)))
+
+
+def slider_to_self_two(im):
+    return im
+
+
+def position_to_slider(pos):
+    return gr.ImageSlider(slider_position=pos)
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("## img to image slider")
+    with gr.Row():
+        img1 = gr.Image(label="Blur image", type="pil")
+        img2 = gr.ImageSlider(label="Blur image", type="pil")
+    btn = gr.Button("Blur image")
+    btn.click(img_to_slider, inputs=img1, outputs=img2)
+    gr.Markdown("## unified image slider")
+    with gr.Row():
+        img3 = gr.ImageSlider(label="Blur image", type="pil")
+        img3.upload(slider_to_self, inputs=img3, outputs=img3)
+    pos = gr.Slider(label="Position", value=50, minimum=0, maximum=100, step=0.01)
+    pos.change(position_to_slider, inputs=pos, outputs=img3, show_progress="hidden")
+
+if __name__ == "__main__":
+    demo.launch()