Commit 3: Add 35 file(s)

demos/native_plots/bar_plot_demo.py

@@ -1,5 +1,5 @@
 import gradio as gr
-from data import temp_sensor_data, food_rating_data
+from data import temp_sensor_data, food_rating_data  # type: ignore
 
 with gr.Blocks() as bar_plots:
     with gr.Row():

demos/native_plots/line_plot_demo.py

@@ -1,5 +1,5 @@
 import gradio as gr
-from data import temp_sensor_data, food_rating_data
+from data import temp_sensor_data, food_rating_data  # type: ignore
 
 with gr.Blocks() as line_plots:
     with gr.Row():

demos/native_plots/run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: native_plots"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio vega_datasets pandas "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["# Downloading files from the demo repo\n", "import os\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/native_plots/bar_plot_demo.py\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/native_plots/data.py\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/native_plots/line_plot_demo.py\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/native_plots/scatter_plot_demo.py"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "from scatter_plot_demo import scatter_plots\n", "from line_plot_demo import line_plots\n", "from bar_plot_demo import bar_plots\n", "\n", "with gr.Blocks() as demo:\n", "    with gr.Tabs():\n", "        with gr.TabItem(\"Line Plot\"):\n", "            line_plots.render()\n", "        with gr.TabItem(\"Scatter Plot\"):\n", "            scatter_plots.render()\n", "        with gr.TabItem(\"Bar Plot\"):\n", "            bar_plots.render()\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: native_plots"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio vega_datasets pandas "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["# Downloading files from the demo repo\n", "import os\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/native_plots/bar_plot_demo.py\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/native_plots/data.py\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/native_plots/line_plot_demo.py\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/native_plots/scatter_plot_demo.py"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "from scatter_plot_demo import scatter_plots  # type: ignore\n", "from line_plot_demo import line_plots  # type: ignore\n", "from bar_plot_demo import bar_plots  # type: ignore\n", "\n", "with gr.Blocks() as demo:\n", "    with gr.Tabs():\n", "        with gr.TabItem(\"Line Plot\"):\n", "            line_plots.render()\n", "        with gr.TabItem(\"Scatter Plot\"):\n", "            scatter_plots.render()\n", "        with gr.TabItem(\"Bar Plot\"):\n", "            bar_plots.render()\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

demos/native_plots/run.py

@@ -1,8 +1,8 @@
 import gradio as gr
 
-from scatter_plot_demo import scatter_plots
-from line_plot_demo import line_plots
-from bar_plot_demo import bar_plots
+from scatter_plot_demo import scatter_plots  # type: ignore
+from line_plot_demo import line_plots  # type: ignore
+from bar_plot_demo import bar_plots  # type: ignore
 
 with gr.Blocks() as demo:
     with gr.Tabs():

demos/native_plots/scatter_plot_demo.py

@@ -1,5 +1,5 @@
 import gradio as gr
-from data import temp_sensor_data, food_rating_data
+from data import temp_sensor_data, food_rating_data  # type: ignore
 
 with gr.Blocks() as scatter_plots:
     with gr.Row():

requirements.txt

@@ -1,5 +1,5 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@e2164bccbb0dae7c90049254eb1c5aac510b808a#subdirectory=client/python
-https://gradio-pypi-previews.s3.amazonaws.com/e2164bccbb0dae7c90049254eb1c5aac510b808a/gradio-5.42.0-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@d9b272fd55451ff4fc1b0eb81b7f88ea9e89ac55#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/d9b272fd55451ff4fc1b0eb81b7f88ea9e89ac55/gradio-5.42.0-py3-none-any.whl
 pypistats==1.1.0
 plotly
 matplotlib

run.py

@@ -44,7 +44,7 @@ for p in sorted(os.listdir("./demos")):
             demo_module = importlib.import_module("run")
         else:
             demo_module = importlib.reload(demo_module)
-        all_demos.append((p, demo_module.demo, False))
+        all_demos.append((p, demo_module.demo, False))  # type: ignore
     except Exception as e:
         with gr.Blocks() as demo:
             gr.Markdown(f"Error loading demo: {e}")