Upload folder using huggingface_hub

README.md

@@ -5,7 +5,7 @@ emoji: 🔥
 colorFrom: indigo
 colorTo: indigo
 sdk: gradio
-sdk_version: 5.49.1
+sdk_version: 6.0.0
 app_file: run.py
 pinned: false
 hf_oauth: true

requirements.txt

@@ -1,4 +1,4 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@e05eb8df38a4ca20993e94ca4e209cf8110bb677#subdirectory=client/python
-https://gradio-pypi-previews.s3.amazonaws.com/e05eb8df38a4ca20993e94ca4e209cf8110bb677/gradio-5.49.1-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@d007e6cf617baba5c62e49ec2b7ce278aa863a79#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/d007e6cf617baba5c62e49ec2b7ce278aa863a79/gradio-6.0.0-py3-none-any.whl
 opencv-python
 numpy

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: color_generator"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio opencv-python numpy"]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import cv2  # type: ignore\n", "import numpy as np\n", "import random\n", "\n", "# Convert decimal color to hexadecimal color\n", "def RGB_to_Hex(rgb):\n", "    color = \"#\"\n", "    for i in rgb:\n", "        num = int(i)\n", "        color += str(hex(num))[-2:].replace(\"x\", \"0\").upper()\n", "    return color\n", "\n", "# Randomly generate light or dark colors\n", "def random_color(is_light=True):\n", "    return (\n", "        random.randint(0, 127) + int(is_light) * 128,\n", "        random.randint(0, 127) + int(is_light) * 128,\n", "        random.randint(0, 127) + int(is_light) * 128,\n", "    )\n", "\n", "def switch_color(color_style):\n", "    is_light = color_style == \"light\"\n", "    back_color_ = random_color(is_light)  # Randomly generate colors\n", "    back_color = RGB_to_Hex(back_color_)  # Convert to hexadecimal\n", "\n", "    # Draw color pictures.\n", "    w, h = 50, 50\n", "    img = np.zeros((h, w, 3), np.uint8)\n", "    cv2.rectangle(img, (0, 0), (w, h), back_color_, thickness=-1)\n", "\n", "    return back_color, back_color, img\n", "\n", "inputs = [gr.Radio([\"light\", \"dark\"], value=\"light\")]\n", "\n", "outputs = [\n", "    gr.ColorPicker(label=\"color\"),\n", "    gr.Textbox(label=\"hexadecimal color\"),\n", "    gr.Image(type=\"numpy\", label=\"color picture\"),\n", "]\n", "\n", "title = \"Color Generator\"\n", "description = (\n", "    \"Click the Submit button, and a dark or light color will be randomly generated.\"\n", ")\n", "\n", "demo = gr.Interface(\n", "    fn=switch_color,\n", "    inputs=inputs,\n", "    outputs=outputs,\n", "    title=title,\n", "    description=description,\n", ")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: color_generator"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio opencv-python numpy"]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import cv2  # type: ignore\n", "import numpy as np\n", "import random\n", "\n", "# Convert decimal color to hexadecimal color\n", "def RGB_to_Hex(rgb):\n", "    color = \"#\"\n", "    for i in rgb:\n", "        num = int(i)\n", "        color += str(hex(num))[-2:].replace(\"x\", \"0\").upper()\n", "    return color\n", "\n", "# Randomly generate light or dark colors\n", "def random_color(is_light=True):\n", "    return (\n", "        random.randint(0, 127) + int(is_light) * 128,\n", "        random.randint(0, 127) + int(is_light) * 128,\n", "        random.randint(0, 127) + int(is_light) * 128,\n", "    )\n", "\n", "def switch_color(color_style):\n", "    is_light = color_style == \"light\"\n", "    back_color_ = random_color(is_light)  # Randomly generate colors\n", "    back_color = RGB_to_Hex(back_color_)  # Convert to hexadecimal\n", "\n", "    # Draw color pictures.\n", "    w, h = 50, 50\n", "    img = np.zeros((h, w, 3), np.uint8)\n", "    cv2.rectangle(img, (0, 0), (w, h), back_color_, thickness=-1)\n", "\n", "    return back_color, back_color, img\n", "\n", "inputs = [gr.Radio([\"light\", \"dark\"], value=\"light\")]\n", "\n", "outputs = [\n", "    gr.ColorPicker(label=\"color\"),\n", "    gr.Textbox(label=\"hexadecimal color\"),\n", "    gr.Image(type=\"numpy\", label=\"color picture\"),\n", "]\n", "\n", "title = \"Color Generator\"\n", "description = (\n", "    \"Click the Submit button, and a dark or light color will be randomly generated.\"\n", ")\n", "\n", "demo = gr.Interface(\n", "    fn=switch_color,\n", "    inputs=inputs,\n", "    outputs=outputs,\n", "    title=title,\n", "    description=description,\n", "    api_name=\"predict\",\n", ")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -50,6 +50,7 @@ demo = gr.Interface(
     outputs=outputs,
     title=title,
     description=description,
+    api_name="predict",
 )
 
 if __name__ == "__main__":